Learning based robot vision: principles and applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2001
|
| Schriftenreihe: | Lecture notes in computer science
2048 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | IX, 288 S. Ill., graph. Darst. |
| ISBN: | 3540421084 |
Internformat
MARC
| LEADER | 00000nam a22000008cb4500 | ||
|---|---|---|---|
| 001 | BV013717534 | ||
| 003 | DE-604 | ||
| 005 | 20020409 | ||
| 007 | t| | ||
| 008 | 010430s2001 gw ad|| |||| 00||| eng d | ||
| 016 | 7 | |a 961384301 |2 DE-101 | |
| 020 | |a 3540421084 |9 3-540-42108-4 | ||
| 035 | |a (OCoLC)248506065 | ||
| 035 | |a (DE-599)BVBBV013717534 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c DE | ||
| 049 | |a DE-91G |a DE-384 |a DE-739 |a DE-29T |a DE-703 |a DE-858 |a DE-83 |a DE-188 |a DE-706 | ||
| 050 | 0 | |a QA76 | |
| 050 | 0 | |a TJ211.3 | |
| 082 | 0 | |a 629.8/92637 |2 21 | |
| 084 | |a DAT 708f |2 stub | ||
| 084 | |a DAT 760f |2 stub | ||
| 084 | |a DAT 815f |2 stub | ||
| 100 | 1 | |a Pauli, Josef |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Learning based robot vision |b principles and applications |c Josef Pauli |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2001 | |
| 300 | |a IX, 288 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in computer science |v 2048 | |
| 650 | 4 | |a Robots - Commande, Systèmes de | |
| 650 | 7 | |a Robots - Systèmes de commande |2 ram | |
| 650 | 4 | |a Vision artificielle (Robotique) | |
| 650 | 7 | |a Vision artificielle (robotique) |2 ram | |
| 650 | 7 | |a agent intelligent |2 inriac | |
| 650 | 7 | |a apprentissage machine |2 inriac | |
| 650 | 7 | |a reconnaissance objet |2 inriac | |
| 650 | 7 | |a robot mobile |2 inriac | |
| 650 | 7 | |a vision robot |2 inriac | |
| 650 | 4 | |a Robot vision | |
| 650 | 4 | |a Robots |x Control systems | |
| 650 | 0 | 7 | |a Autonomer Roboter |0 (DE-588)4304075-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Problemlösen |0 (DE-588)4076358-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Objekterkennung |0 (DE-588)4314334-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Monitorüberwachung |0 (DE-588)4291501-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Autonomer Roboter |0 (DE-588)4304075-5 |D s |
| 689 | 0 | 1 | |a Maschinelles Sehen |0 (DE-588)4129594-8 |D s |
| 689 | 0 | 2 | |a Monitorüberwachung |0 (DE-588)4291501-6 |D s |
| 689 | 0 | 3 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 4 | |a Objekterkennung |0 (DE-588)4314334-9 |D s |
| 689 | 0 | 5 | |a Problemlösen |0 (DE-588)4076358-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 830 | 0 | |a Lecture notes in computer science |v 2048 |w (DE-604)BV000000607 |9 2048 | |
| 856 | 4 | 2 | |m SWB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009373902&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-009373902 | |
Datensatz im Suchindex
| _version_ | 1820874902289252352 |
|---|---|
| adam_text |
CONTENTS 1. INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . 1 1.1 NEED FOR
NEW-GENERATION ROBOT SYSTEMS . . . . . . . . . . . . . . . . . . 1 1.2
PARADIGMS OF COMPUTER VISION (CV) AND ROBOT VISION (RV) . 5 1.2.1
CHARACTERIZATION OF COMPUTER VISION . . . . . . . . . . . . . . . 5
1.2.2 CH ARACTERIZATION OF ROBOT VISION . . . . . . . . . . . . . . . .
. . . 8 1.3 ROBOT SYSTEMS VERSUS AUTONOMOUS ROBOT SYSTEMS . . . . . . .
. . 10 1.3.1 CHARACTERIZATION OF A ROBOT SYSTEM . . . . . . . . . . . .
. . . . 10 1.3.2 CHARACTERIZATION OF AN AUTONOMOUS ROBOT SYSTEM. . . .
11 1.3.3 AUTONOMOUS CAMERA-EQUIPPED ROBOT SYSTEM . . . . . . . 14 1.4
IMPORTANT ROLE OF DEMONSTRATION AND LEARNING . . . . . . . . . . . . 15
1.4.1 LEARNING FEATURE COMPATIBILITIES UNDER REAL IMAGING . 15 1.4.2
LEARNING FEATURE MANIFOLDS OF REAL WORLD SITUATIONS . 18 1.4.3 LEARNING
ENVIRONMENT-EFFECTOR-IMAGE RELATIONSHIPS . . 20 1.4.4 COMPATIBILITIES,
MANIFOLDS, AND RELATIONSHIPS . . . . . . . . 21 1.5 CH APTER OVERVIEW OF
TH E WORK . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 2.
COMPATIBILITIES FOR OBJECT BOUNDARY DETECTION . . . . . . . . . . . 25
2.1 INTRODUCTION TO TH E CH APTER . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . 25 2.1.1 GENERAL CONTEXT OF TH E CH APTER . . . . .
. . . . . . . . . . . . . . . 25 2.1.2 OBJECT LOCALIZATION AND BOUNDARY
EXTRACTION. . . . . . . . 27 2.1.3 DETAILED REVIEW OF RELEVANT
LITERATURE . . . . . . . . . . . . . . 28 2.1.4 OUTLINE OF TH E SECTIONS
IN TH E CH APTER . . . . . . . . . . . . . . 31 2.2
GEOMETRIC/PHOTOMETRIC COMPATIBILITY PRINCIPLES . . . . . . . . . . . 32
2.2.1 HOUGHTRANSFORMATION FOR LINE EXTRACTION. . . . . . . . . . . 32
2.2.2 ORIENTATION COMPATIBILITY BETWEEN LINES AND EDGES . . 34 2.2.3
JUNCTION COMPATIBILITY BETWEEN PENCILS AND CORNERS . . 41 2.3
COMPATIBILITY-BASED STRUCTURAL LEVEL GROUPING . . . . . . . . . . . . 46
2.3.1 HOUGHPEAKS FOR APPROXIMATE PARALLEL LINES . . . . . . . . . 47
2.3.2 PHASE COMPATIBILITY BETWEEN PARALLELS AND RAMPS . . . . 49 2.3.3
EXTRACTION OF REGULAR QUADRANGLES . . . . . . . . . . . . . . . . . 54
2.3.4 EXTRACTION OF REGULAR POLYGONS . . . . . . . . . . . . . . . . . .
. . 61 2.4 COMPATIBILITY-BASED ASSEMBLY LEVEL GROUPING . . . . . . . . .
. . . . 69 2.4.1 FOCUSING IMAGE PROCESSING ON POLYGONAL WINDOWS . . . .
70 2.4.2 VANISHING-POINT COMPATIBILITY OF PARALLEL LINES . . . . . . 74
VIII CONTENTS 2.4.3 PENCIL COMPATIBILITY OF MEETING BOUNDARY LINES . . .
. . 76 2.4.4 BOUNDARY EXTRACTION FOR APPROXIMATE POLYHEDRA . . . . . 78
2.4.5 GEOMETRIC REASONING FOR BOUNDARY EXTRACTION . . . . . . . 79 2.5
VISUAL DEMONSTRATIONS FOR LEARNING DEGREES OF COMPATIBILITY . 85 2.5.1
LEARNING DEGREE OF LINE/EDGE ORIENTATION COMPATIBILITY 85 2.5.2 LEARNING
DEGREE OF PARALLEL/RAMPPHASE COMPATIBILITY . 90 2.5.3 LEARNING DEGREE OF
PARALLELISM COMPATIBILITY . . . . . . . . 95 2.6 SUMMARY AND DISCUSSION
OF TH E CH APTER . . . . . . . . . . . . . . . . . . 96 3. MANIFOLDS FOR
OBJECT AND SITUATION RECOGNITION . . . . . . . . . . 101 3.1
INTRODUCTION TO TH E CH APTER . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . 101 3.1.1 GENERAL CONTEXT OF TH E CH APTER . . . . . . .
. . . . . . . . . . . . . 101 3.1.2 APPROACHFOR OBJECT AND SITUATION
RECOGNITION . . . . . . 102 3.1.3 DETAILED REVIEW OF RELEVANT LITERATURE
. . . . . . . . . . . . . . 103 3.1.4 OUTLINE OF TH E SECTIONS IN TH E
CH APTER . . . . . . . . . . . . . . 108 3.2 LEARNING PATTERN MANIFOLDS
WITHGBFS AND PCA . . . . . . . . . . . 108 3.2.1 COMPATIBILITY AND
DISCRIMINABILITY FOR RECOGNITION . . . 108 3.2.2 REGULARIZATION
PRINCIPLES AND GBF NETWORKS . . . . . . . . 111 3.2.3 CANONICAL FRAMES
WITHPRINCIPAL COMPONENT ANALYSIS . 116 3.3 GBF NETWORKS FOR
APPROXIMATION OF RECOGNITION FUNCTIONS . . 122 3.3.1 APPROACHOF GBF
NETWORK LEARNING FOR RECOGNITION . . 122 3.3.2 OBJECT RECOGNITION UNDER
ARBITRARY VIEW ANGLE . . . . . 124 3.3.3 OBJECT RECOGNITION FOR
ARBITRARY VIEW DISTANCE . . . . . . 129 3.3.4 SCORING OF GRASPING
SITUATIONS . . . . . . . . . . . . . . . . . . . . . 131 3.4
SOPHISTICATED MANIFOLD APPROXIMATION FOR ROBUST RECOGNITION . 133 3.4.1
MAKING MANIFOLD APPROXIMATION TRACTABLE . . . . . . . . . . 134 3.4.2
LOG-POLAR TRANSFORMATION FOR MANIFOLD SIMPLIFICATION . 137 3.4.3
SPACE-TIME CORRELATIONS FOR MANIFOLD REFINEMENT . . . . 145 3.4.4
LEARNING STRATEGY WITHPCA/GBF MIXTURES . . . . . . . . . 154 3.5 SUMMARY
AND DISCUSSION OF TH E CH APTER . . . . . . . . . . . . . . . . . . 168
4. LEARNING-BASED ACHIEVEMENT OF RV COMPETENCES . . . . . . . . 171 4.1
INTRODUCTION TO TH E CH APTER . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . 171 4.1.1 GENERAL CONTEXT OF TH E CH APTER . . . . . . .
. . . . . . . . . . . . . 171 4.1.2 LEARNING BEH AVIOR-BASED SYSTEMS . .
. . . . . . . . . . . . . . . . 174 4.1.3 DETAILED REVIEW OF RELEVANT
LITERATURE . . . . . . . . . . . . . . 178 4.1.4 OUTLINE OF TH E
SECTIONS IN TH E CH APTER . . . . . . . . . . . . . . 182 4.2
INTEGRATING DELIBERATE STRATEGIES AND VISUAL FEEDBACK . . . . . . . 183
4.2.1 DYNAMICAL SYSTEMS AND CONTROL MECHANISMS . . . . . . . . 183 4.2.2
GENERIC MODULES FOR SYSTEM DEVELOPMENT . . . . . . . . . . . 197 4.3
TREATMENT OF AN EXEMPLARY HIGH-LEVEL TASK . . . . . . . . . . . . . . .
206 4.3.1 DESCRIPTION OF AN EXEMPLARY HIGH-LEVEL TASK . . . . . . . .
206 4.3.2 LOCALIZATION OF A TARGET OBJECT IN THE IMAGE . . . . . . . . .
208 4.3.3 DETERMINING AND RECONSTRUCTING OBSTACLE OBJECTS . . . . 213
4.3.4 APPROACHING AND GRASPING OBSTACLE OBJECTS . . . . . . . . . 219
CONTENTS IX 4.3.5 CLEARING AWAY OBSTACLE OBJECTS ON A PARKING AREA . . .
225 4.3.6 INSPECTION AND/OR MANIPULATION OF A TARGET OBJECT . . . 231
4.3.7 MONITORING THE TASK-SOLVING PROCESS . . . . . . . . . . . . . . .
. 237 4.3.8 OVERALL TASK-SPECIFIC CONFIGURATION OF MODULES. . . . . . .
238 4.4 BASIC MECHANISMS FOR CAMERA*ROBOT COORDINATION . . . . . . . . .
240 4.4.1 CAMERA*MANIPULATOR RELATION FOR ONE-STEP CONTROL . . 240 4.4.2
CAMERA*MANIPULATOR RELATION FOR MULTI-STEP CONTROL . 245 4.4.3 HAND
SERVOING FOR DETERMINING THE OPTICAL AXIS . . . . . 248 4.4.4
DETERMINING TH E FIELD OF SH ARP VIEW . . . . . . . . . . . . . . . 250
4.5 SUMMARY AND DISCUSSION OF TH E CH APTER . . . . . . . . . . . . . .
. . . . 252 5. SUMMARY AND DISCUSSION . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . 255 5.1 DEVELOPING CAMERA-EQUIPPED ROBOT
SYSTEMS . . . . . . . . . . . . . . 255 5.2 RATIONALE FOR TH E CONTENTS
OF TH IS WORK . . . . . . . . . . . . . . . . . . 258 5.3 PROPOSALS FOR
FUTURE RESEARCH TOPICS . . . . . . . . . . . . . . . . . . . . . 260
APPENDIX 1: ELLIPSOIDAL INTERPOLATION . . . . . . . . . . . . . . . . .
. . . . . . . . 263 APPENDIX 2: FURTHER BEHAVIORAL MODULES . . . . . . .
. . . . . . . . . . . . . . 265 SYMBOLS . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . 269 INDEX . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . 273 REFERENCES .
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
. . . . . . . . . . . . . . . 277 |
| any_adam_object | 1 |
| author | Pauli, Josef |
| author_facet | Pauli, Josef |
| author_role | aut |
| author_sort | Pauli, Josef |
| author_variant | j p jp |
| building | Verbundindex |
| bvnumber | BV013717534 |
| callnumber-first | Q - Science |
| callnumber-label | QA76 |
| callnumber-raw | QA76 TJ211.3 |
| callnumber-search | QA76 TJ211.3 |
| callnumber-sort | QA 276 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | SS 4800 |
| classification_tum | DAT 708f DAT 760f DAT 815f |
| ctrlnum | (OCoLC)248506065 (DE-599)BVBBV013717534 |
| dewey-full | 629.8/92637 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.8/92637 |
| dewey-search | 629.8/92637 |
| dewey-sort | 3629.8 592637 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a22000008cb4500</leader><controlfield tag="001">BV013717534</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20020409</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">010430s2001 gw ad|| |||| 00||| eng d</controlfield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">961384301</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3540421084</subfield><subfield code="9">3-540-42108-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)248506065</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV013717534</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">DE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91G</subfield><subfield code="a">DE-384</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-29T</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-858</subfield><subfield code="a">DE-83</subfield><subfield code="a">DE-188</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QA76</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TJ211.3</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">629.8/92637</subfield><subfield code="2">21</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 760f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 815f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pauli, Josef</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Learning based robot vision</subfield><subfield code="b">principles and applications</subfield><subfield code="c">Josef Pauli</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin [u.a.]</subfield><subfield code="b">Springer</subfield><subfield code="c">2001</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">IX, 288 S.</subfield><subfield code="b">Ill., graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">2048</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Robots - Commande, Systèmes de</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Robots - Systèmes de commande</subfield><subfield code="2">ram</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Vision artificielle (Robotique)</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Vision artificielle (robotique)</subfield><subfield code="2">ram</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">agent intelligent</subfield><subfield code="2">inriac</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">apprentissage machine</subfield><subfield code="2">inriac</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">reconnaissance objet</subfield><subfield code="2">inriac</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">robot mobile</subfield><subfield code="2">inriac</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">vision robot</subfield><subfield code="2">inriac</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Robot vision</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Robots</subfield><subfield code="x">Control systems</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Autonomer Roboter</subfield><subfield code="0">(DE-588)4304075-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Problemlösen</subfield><subfield code="0">(DE-588)4076358-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Objekterkennung</subfield><subfield code="0">(DE-588)4314334-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Monitorüberwachung</subfield><subfield code="0">(DE-588)4291501-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Autonomer Roboter</subfield><subfield code="0">(DE-588)4304075-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Maschinelles Sehen</subfield><subfield code="0">(DE-588)4129594-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Monitorüberwachung</subfield><subfield code="0">(DE-588)4291501-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Objekterkennung</subfield><subfield code="0">(DE-588)4314334-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Problemlösen</subfield><subfield code="0">(DE-588)4076358-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Lecture notes in computer science</subfield><subfield code="v">2048</subfield><subfield code="w">(DE-604)BV000000607</subfield><subfield code="9">2048</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">SWB Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009373902&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-009373902</subfield></datafield></record></collection> |
| id | DE-604.BV013717534 |
| illustrated | Illustrated |
| indexdate | 2025-01-10T15:07:07Z |
| institution | BVB |
| isbn | 3540421084 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009373902 |
| oclc_num | 248506065 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-384 DE-739 DE-29T DE-703 DE-858 DE-83 DE-188 DE-706 |
| owner_facet | DE-91G DE-BY-TUM DE-384 DE-739 DE-29T DE-703 DE-858 DE-83 DE-188 DE-706 |
| physical | IX, 288 S. Ill., graph. Darst. |
| publishDate | 2001 |
| publishDateSearch | 2001 |
| publishDateSort | 2001 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spelling | Pauli, Josef Verfasser aut Learning based robot vision principles and applications Josef Pauli Berlin [u.a.] Springer 2001 IX, 288 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 2048 Robots - Commande, Systèmes de Robots - Systèmes de commande ram Vision artificielle (Robotique) Vision artificielle (robotique) ram agent intelligent inriac apprentissage machine inriac reconnaissance objet inriac robot mobile inriac vision robot inriac Robot vision Robots Control systems Autonomer Roboter (DE-588)4304075-5 gnd rswk-swf Problemlösen (DE-588)4076358-4 gnd rswk-swf Objekterkennung (DE-588)4314334-9 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Monitorüberwachung (DE-588)4291501-6 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Autonomer Roboter (DE-588)4304075-5 s Maschinelles Sehen (DE-588)4129594-8 s Monitorüberwachung (DE-588)4291501-6 s Maschinelles Lernen (DE-588)4193754-5 s Objekterkennung (DE-588)4314334-9 s Problemlösen (DE-588)4076358-4 s DE-604 Lecture notes in computer science 2048 (DE-604)BV000000607 2048 SWB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009373902&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Pauli, Josef Learning based robot vision principles and applications Lecture notes in computer science Robots - Commande, Systèmes de Robots - Systèmes de commande ram Vision artificielle (Robotique) Vision artificielle (robotique) ram agent intelligent inriac apprentissage machine inriac reconnaissance objet inriac robot mobile inriac vision robot inriac Robot vision Robots Control systems Autonomer Roboter (DE-588)4304075-5 gnd Problemlösen (DE-588)4076358-4 gnd Objekterkennung (DE-588)4314334-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Monitorüberwachung (DE-588)4291501-6 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4304075-5 (DE-588)4076358-4 (DE-588)4314334-9 (DE-588)4193754-5 (DE-588)4291501-6 (DE-588)4129594-8 |
| title | Learning based robot vision principles and applications |
| title_auth | Learning based robot vision principles and applications |
| title_exact_search | Learning based robot vision principles and applications |
| title_full | Learning based robot vision principles and applications Josef Pauli |
| title_fullStr | Learning based robot vision principles and applications Josef Pauli |
| title_full_unstemmed | Learning based robot vision principles and applications Josef Pauli |
| title_short | Learning based robot vision |
| title_sort | learning based robot vision principles and applications |
| title_sub | principles and applications |
| topic | Robots - Commande, Systèmes de Robots - Systèmes de commande ram Vision artificielle (Robotique) Vision artificielle (robotique) ram agent intelligent inriac apprentissage machine inriac reconnaissance objet inriac robot mobile inriac vision robot inriac Robot vision Robots Control systems Autonomer Roboter (DE-588)4304075-5 gnd Problemlösen (DE-588)4076358-4 gnd Objekterkennung (DE-588)4314334-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Monitorüberwachung (DE-588)4291501-6 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Robots - Commande, Systèmes de Robots - Systèmes de commande Vision artificielle (Robotique) Vision artificielle (robotique) agent intelligent apprentissage machine reconnaissance objet robot mobile vision robot Robot vision Robots Control systems Autonomer Roboter Problemlösen Objekterkennung Maschinelles Lernen Monitorüberwachung Maschinelles Sehen |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009373902&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000000607 |
| work_keys_str_mv | AT paulijosef learningbasedrobotvisionprinciplesandapplications |