Sensor fusion III: 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass.
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| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Bellingham, Wash.
SPIE-The Internat. Soc. for Optical Engineering
1991
|
| Series: | Society of Photo-Optical Instrumentation Engineers: Proceedings of SPIE
1383 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Literaturangaben |
| Physical Description: | X, 654 S. graph. Darst. |
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| 245 | 1 | 0 | |a Sensor fusion III |b 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. |c Paul S. Schenker, chair/ed. Spons. and publ. by SPIE - The International Society for Optical Engineering |
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Record in the Search Index
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|---|---|
| adam_text | SENSOR FUSION
III: 3-D PERCEPTION AND RECOGNITION
Volume
1383
CONTENTS
Conference Committee
................................................................
vii
Introduction
..........................................................................ix
SESSION
1
FUSING MULTIPLE VIEWS
1383-01
Characteristic views and perspective aspect graphs of quadric-surfaced solids
S. Chen, H. Freeman, Rutgers Univ
.......................................................2
1383-02
Aspect networks: using multiple views to learn and recognize
3-D
objects
M.
Seibert,
A. M. Waxman, Lincoln Lab./MIT
............................................ 10
1383-03
Fusion of multiple views of multiple reference points using a parallel distributed
processing approach
W. J. Wolfe, Univ. of Colorado/Denver; M. Magee, Univ. of Wyoming
.......................20
1383-04
Structure of a scene from two and three projections
T. Tommasi, Univ.
di Genova
(Italy)
.....................................................26
1383-05
Dense-depth map from multiple views
G. Attolico,
Istituto Elaborazione Segnali ed Immagini/CNR
(Italy);
L. Caponettí,
Istituto di
Scienze dell Informazione
(Italy);
M. T.
Chiaradia, Univ. di Bari
(Italy);
A. Distante, E. Stella,
Istituto Elaborazione Segnali ed Immagini/CNR
(Italy)
......................................34
1383-06
Representing the
dynamics
of the occluding contour
W. B. Seales, C. R. Dyer, Univ. of Wisconsin/Madison
.....................................47
SESSION
2
TEMPORAL ANALYSIS AND
3-D
MOTION INTERPRETATION
1383-07
Optical flow techniques for moving target detection
P.
Russo,
V. Markandey, T. H. Bui, D. Shrode, Texas Instruments
Inc
.........................60
1383-08
Pose determination of spinning satellites using tracks of novel regions
A. J. Lee, D. P. Casasent, Carnegie Mellon Univ
............................................72
1383-09
Recognition, tracking, and pose estimation of arbitrarily shaped
3-D
objects
in cluttered intensity and range imagery
P. G.
Gottschalk,
J. L. Turney, A. H.
Chiu,
T.
N.
Mudge, KMS Fusion,
Inc
.....................84
1383-10
Computing motion parameters from sparse multisensor range data for telerobotics
B. С
Vemuri, Univ. of Florida/Gainesville; G. Skofteland, Univ. of
Trondheim (FRG)
...........97
1383-1
1 Motion estimation without correspondences and object tracking over long
time sequences
D. B. Goldgof, Univ. of South Florida; H. Lee,
T. S.
Huang,
Univ. of Illinois/Urbana-Champaign
.................................................... 109
1383-12
Computing image flow and scene depth: an estimation-theoretic
fusion-based framework
A. Singh, Siemens Corp
............................................................... 122
SESSION
3
SENSOR FUSION AND EYE-TO-HAND COORDINATION
1383-14
Toward tactile sensor-based exploration in a robotic environment
H. P. Gadagkar, M. M. Trivedi, Univ. of Tennessee/Knoxville
............................... 142
1383-15
Finding a grasped object s pose using joint angle and torque constraints
D. M.
Siegel,
Massachusetts Institute of Technology
........................................ 151
(continued)
SPIE
Vol.
1383
Sensor Fusion III:
3-D
Perception and Recognition
(1990) /
Hi
SENSOR FUSION
III: 3-D PERCEPTION AND RECOGNITION
Volume
1383
1383 -16
Three-dimensional position determination from motion
M. Nashman, K. Chaconas, National Institute of Standards and Technology
....................166
1383-17
Hand-eye coordination for grasping moving objects
P. K. Allen, B. Yoshimi, A. Timcenko, P. Michelman, Columbia Univ
......................... 176
1383-18
Grasp-oriented sensing and control
R. A. Grupen, R. S. Weiss, D.
N.
Oskard,
Univ. of Massachusetts
............................ 189
1383-19
Fusing human and machine skills for remote robotic operations
P. S.
Schenker,
W.
S.
Kim,
S.
Venerna, A. K.
Bejczy, Jet Propulsion
Lab.......................202
SESSION 4
INVITED
SESSION: INTEGRATION IN HUMAN
SHAPE PERCEPTION
1383-20
Shape perception from binocular disparity and structure-from-motion
J. S. Tittle,
M. L.
Braunstein, Univ.
of California/Irvine
....................................225
1383-21
Shape-from-X: psychophysics and computation
H. H. Bulthoff, Brown Univ.; A. L. Yuille, Harvard Univ
...................................235
1383-22
Psychophysical estimation of the human depth combination rule
M. S. Landy, L. T. Maloney, M. J. Young, New York Univ
..................................247
SESSION
5
SURFACE RECONSTRUCTION
1383-24
Adaptive surface reconstruction
D. Terzopoulos, Univ. of Toronto and Schlumberger Lab. for Computer Science (Canada);
M. Vasilescu, MIT and Schlumberger Lab. for Computer Science
.............................257
1383-25
Surface reconstruction method using deformable templates
Y. Wang, Univ. of California/Santa Barbara; J. Wang, IBM Corp
............................265
1383-26
Energy-based segmentation of very sparse range surfaces
M.
Lerner,
Τ. Ε.
Boult, Columbia Univ
..................................................277
1383-27
Stereo matching, error detection, and surface reconstruction
C. V. Stewart, Rensselaer Polytechnic Institute
............................................285
1383-28
Surface reconstruction with discontinuities
D. T. Lee, J.H. Shiau, AT&T Bell Labs
..................................................297
1383-29
Multilevel evidence fusion for the recognition of
3-D
objects:
an overview of computer vision research at IBM/T.J. Watson
R. M.
Bolle,
A. Califano, J. R.
Kender,
R. Kjeldsen, R.
Mohan,
IBM/Thomas J. Watson Research Ctr
...................................................305
SESSION
6
STATISTICAL METHODS IN SENSOR FUSION
1383-30
Fusion of stereo views: estimating structure and motion using a robust method
J. Weng,
Ecole Polytechnique
and Ctr.
de
Recherche
Informatique de
Montreal (Canada);
P. Cohen,
Ecole Polytechnique
(Canada)
.................................................321
1383-31
Three-dimensional scene reconstruction using optimal information fusion
L. Hong, Wright State Univ
...........................................................333
1383-32
Robust self-calibration and evidential reasoning for building environment maps
A. P. Tirumalai, B. G. Schunck,
R. C
Jain, Univ. of Michigan
...............................345
1383-33
Efficient system for
3-D
object recognition
T. M. Sobh, T. K. Alameldin, Univ. of Pennsylvania
.......................................359
1383-34
Sensor fusion using K-nearest-neighbor concepts
D. R. Scott, Northern Arizona Univ.; G. M.
Flachs,
P. T. Gaughan, New Mexico State Univ
......367
iv /
SPIE
Vol.
1383
Sensor Fusion III:
3-D
Perception and Recognition
(1990)
SENSOR
FUSION
III:
3-D
PERCEPTION AND RECOGNITION
Volume
1383
1383-36
Deciding not to decide using resource-bounded sensing
G. D.
Hager, Univ.
of Pennsylvania
.....................................................379
1383-37
Sensor-knowledge-command fusion paradigm for man-machine systems
S. Lee, Jet Propulsion Lab. and Univ. of Southern California; P. S.
Schenker,
Jet Propulsion
Lab.;
J.
Park, Univ. of Southern California
....................................................391
1383-35
Scheme for sensory data integration
H. C
Shen, O.
A. Basir, Univ.
of Waterloo (Canada)
......................................403
SESSION
7
FUSING SENSOR DATA WITH ENVIRONMENTAL KNOWLEDGE
1383-39
Why mobile robots need a spatial memory (Invited Paper)
R.
N.
Haber,
L.
Haber,
Univ. of Illinois/Chicago
..........................................411
1383-40
Exploiting known topologies to navigate with low-computation sensing
D. P. Miller, E. Gat, Jet Propulsion Lab
..................................................425
1383-41
Control scheme for sensor fusion for navigation of autonomous mobile robots
R. R.
Murphy, Georgia Institute of Technology
...........................................436
1383
A2 Multiple unfused passive sensors for operating in busy indoor environments
M. Konishi, R. A. Brooks, Massachusetts Institute of Technology
............................448
1383-43
Coordinating sensing and local navigation
M. G.
Slack, MITRE Corp
............................................................459
1383-46
Analysis of terrain map matching using mulrisensing techniques for applications
to autonomous vehicle navigation
L. A. Page, C.
N.
Shen, Rensselaer Polytechnic Institute
....................................471
1383-48
Planning, acting, and sensor fusion (Proceedings Only)
R. J.
Firby, Univ. of Chicago
...........................................................483
SESSION
8
COMPUTATIONAL MODELS FOR SENSOR FUSION
1383-49
Multiresolution range-guided stereo matching
K. J.
Tate,
Z.
Li, Simon
Fraser Univ.
(Canada)
............................................491
1383-52
Workstation recognition using a constrained edge-based Hough transform for mobile
robot navigation
D. L. Vaughn,
R. C.
Arkin, Georgia Institute of Technology
.................................503
1383-53
Parallel data fusion on a hypercube multiprocessor
P. B. Davis, Univ. of Tennessee/Knoxville;
D. Cate,
Texas Instruments Inc.; M. A. Abidi,
Univ. of Tennessee/Knoxville
..........................................................515
1383-54
Polynomial approach for morphological operations on 2-D and
3-D
images
P. Bhattacharya, Univ. of Nebraska/Lincoln; K. Qian, Georgia Southwestern College
............530
1383-55
Hierarchical target representation for autonomous recognition using distributed sensors
R. C. Luo, M. G.
Kay, North Carolina State Univ
.........................................537
SESSION
9
EVALUATION AND SELECTION OF SENSOR FUSION TECHNIQUES
1383-56
Using robust statistics for sensor fusion (Invited Paper)
R. McKendall, M. Minn, Univ. of Pennsylvania
...........................................547
1383-57
Least-squares-based data fusion strategies and robotic applications
R. O. Eason, S.
Kamata, Univ.
of Maine
.................................................566
1383-59
Sensor fusion at different levels of data abstraction
S. Chen, Univ. of North Carolina/Charlotte
..............................................574
(continued)
SPIE
Vol.
1383
Sensor Fusion III:
3-0
Perception and Recognition
(1990) /
v
SENSOR
FUSION
III:
3-D
PERCEPTION
AND RECOGNITION
Volume
1383
1383-60
Hierarchical fusion of geometric constraints for image segmentation
G. Seetharaman, C.
Chu, Univ.
of Southwestern Louisiana
..................................582
1383-61
Comparison of techniques for disparate sensor fusion
T. L.
Huntsberger, Univ. of South Carolina
...............................................589
1383-62
Nondeterministíc
approaches in data fusion: a review
M. Abdulghafour, J. Goddard, M. A. Abidi, Univ. of Tennessee/Knoxville
....................596
1383-63
Three-dimensional object recognition using multiple sensors
J. K. Hackett, M. J. Lavoie, M. A. Shah, Univ. of Central Florida
.............................611
1383-64
Theories in distributed decision fusion: comparison and generalization
S. C. Thomopoulos, The Pennsylvania State Univ
.........................................623
1383-65
Feature correspondence in multiple sensor data fusion
T. J. Broida, Hughes Aircraft Co
........................................................635
Addendum
.........................................................................652
Author Index
.......................................................................653
vi /
SPIE
Vol.
1383
Sensor Fusion III:
3-D
Perception and Recognition
(1990)
|
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| series2 | Society of Photo-Optical Instrumentation Engineers: Proceedings of SPIE |
| spelling | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. Paul S. Schenker, chair/ed. Spons. and publ. by SPIE - The International Society for Optical Engineering Bellingham, Wash. SPIE-The Internat. Soc. for Optical Engineering 1991 X, 654 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Society of Photo-Optical Instrumentation Engineers: Proceedings of SPIE 1383 Literaturangaben Multisensor data fusion Congresses Optical detectors Congresses Optical pattern recognition Congresses Three dimensional display systems Congresses (DE-588)1071861417 Konferenzschrift gnd-content Schenker, Paul S. Sonstige oth Society of Photo-optical Instrumentation Engineers Sonstige (DE-588)3409-5 oth Society of Photo-Optical Instrumentation Engineers: Proceedings of SPIE 1383 (DE-604)BV000010887 1383 Digitalisierung TU Muenchen application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002978911&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. Society of Photo-Optical Instrumentation Engineers: Proceedings of SPIE Multisensor data fusion Congresses Optical detectors Congresses Optical pattern recognition Congresses Three dimensional display systems Congresses |
| subject_GND | (DE-588)1071861417 |
| title | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. |
| title_auth | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. |
| title_exact_search | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. |
| title_full | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. Paul S. Schenker, chair/ed. Spons. and publ. by SPIE - The International Society for Optical Engineering |
| title_fullStr | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. Paul S. Schenker, chair/ed. Spons. and publ. by SPIE - The International Society for Optical Engineering |
| title_full_unstemmed | Sensor fusion III 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. Paul S. Schenker, chair/ed. Spons. and publ. by SPIE - The International Society for Optical Engineering |
| title_short | Sensor fusion III |
| title_sort | sensor fusion iii 3 d perception and recognition 5 8 november 1990 boston mass |
| title_sub | 3-D perception and recognition ; 5 - 8 November 1990, Boston, Mass. |
| topic | Multisensor data fusion Congresses Optical detectors Congresses Optical pattern recognition Congresses Three dimensional display systems Congresses |
| topic_facet | Multisensor data fusion Congresses Optical detectors Congresses Optical pattern recognition Congresses Three dimensional display systems Congresses Konferenzschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002978911&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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