OpenCV :: computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules.
Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced...
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| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2016.
|
| Schriftenreihe: | Learning path.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt ... |
| Beschreibung: | Authors: Joseph Howse, Prateek Joshi, Michael Beyeler. Cf. Credits page. |
| Beschreibung: | 1 online resource (1 volume) : illustrations. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781787123847 1787123847 |
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| 520 | |a Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt ... | ||
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| series2 | Learning path |
| spelling | Howse, Joseph, 1984- author. https://id.oclc.org/worldcat/entity/E39PCjvXVktWtf7Q4qJqCcfMKd http://id.loc.gov/authorities/names/no2015166102 OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. Computer vision projects with Python Open CV Birmingham, UK : Packt Publishing, 2016. 1 online resource (1 volume) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Learning path Description based on online resource; title from title page (Safari, viewed November 4, 2016). Authors: Joseph Howse, Prateek Joshi, Michael Beyeler. Cf. Credits page. Includes bibliographical references and index. Get savvy with OpenCV and actualize cool computer vision applications About This Book Use OpenCV's Python bindings to capture video, manipulate images, and track objects Learn about the different functions of OpenCV and their actual implementations. Develop a series of intermediate to advanced projects using OpenCV and Python Who This Book Is For This learning path is for someone who has a working knowledge of Python and wants to try out OpenCV. This Learning Path will take you from a beginner to an expert in computer vision applications using OpenCV. OpenCV's application are humongous and this Learning Path is the best resource to get yourself acquainted thoroughly with OpenCV. What You Will Learn Install OpenCV and related software such as Python, NumPy, SciPy, OpenNI, and SensorKinect - all on Windows, Mac or Ubuntu Apply "curves" and other color transformations to simulate the look of old photos, movies, or video games Apply geometric transformations to images, perform image filtering, and convert an image into a cartoon-like image Recognize hand gestures in real time and perform hand-shape analysis based on the output of a Microsoft Kinect sensor Reconstruct a 3D real-world scene from 2D camera motion and common camera reprojection techniques Detect and recognize street signs using a cascade classifier and support vector machines (SVMs) Identify emotional expressions in human faces using convolutional neural networks (CNNs) and SVMs Strengthen your OpenCV2 skills and learn how to use new OpenCV3 features In Detail OpenCV is a state-of-art computer vision library that allows a great variety of image and video processing operations. OpenCV for Python enables us to run computer vision algorithms in real time. This learning path proposes to teach the following topics. First, we will learn how to get started with OpenCV and OpenCV3's Python API, and develop a computer vision application that tracks body parts. Then, we will build amazing intermediate-level computer vision applications such as making an object disappear from an image, identifying different shapes, reconstructing a 3D map from images , and building an augmented reality application, Finally, we'll move to more advanced projects such as hand gesture recognition, tracking visually salient objects, as well as recognizing traffic signs and emotions on faces using support vector machines and multi-layer perceptrons respectively. This Learning Path combines some of the best that Packt ... Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Image processing. http://id.loc.gov/authorities/subjects/sh85064446 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Vision par ordinateur. Traitement d'images. Python (Langage de programmation) image processing. aat COMPUTERS / General bisacsh Computer vision fast Image processing fast Python (Computer program language) fast Joshi, Prateek, author. Beyeler, Michael, author. http://id.loc.gov/authorities/names/no2016049224 has work: OpenCV (Text) https://id.oclc.org/worldcat/entity/E39PCGtD7x6cj9yXxTV64MG6jy https://id.oclc.org/worldcat/ontology/hasWork Learning path. http://id.loc.gov/authorities/names/no2018038408 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1403105 Volltext |
| spellingShingle | Howse, Joseph, 1984- Joshi, Prateek Beyeler, Michael OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. Learning path. Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Image processing. http://id.loc.gov/authorities/subjects/sh85064446 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Vision par ordinateur. Traitement d'images. Python (Langage de programmation) image processing. aat COMPUTERS / General bisacsh Computer vision fast Image processing fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85029549 http://id.loc.gov/authorities/subjects/sh85064446 http://id.loc.gov/authorities/subjects/sh96008834 |
| title | OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. |
| title_alt | Computer vision projects with Python Open CV |
| title_auth | OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. |
| title_exact_search | OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. |
| title_full | OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. |
| title_fullStr | OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. |
| title_full_unstemmed | OpenCV : computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. |
| title_short | OpenCV : |
| title_sort | opencv computer vision projects with python get savvy with opencv and actualize cool computer vision applications a course in three modules |
| title_sub | computer vision projects with Python : get savvy with OpenCV and actualize cool computer vision applications : a course in three modules. |
| topic | Computer vision. http://id.loc.gov/authorities/subjects/sh85029549 Image processing. http://id.loc.gov/authorities/subjects/sh85064446 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Vision par ordinateur. Traitement d'images. Python (Langage de programmation) image processing. aat COMPUTERS / General bisacsh Computer vision fast Image processing fast Python (Computer program language) fast |
| topic_facet | Computer vision. Image processing. Python (Computer program language) Vision par ordinateur. Traitement d'images. Python (Langage de programmation) image processing. COMPUTERS / General Computer vision Image processing |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1403105 |
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