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Three-dimensional object recognition systems

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Published by Elsevier in Amsterdam, New York .
Written in English


  • Computer vision.,
  • Optical pattern recognition.,
  • Image processing -- Digital techniques.

Book details:

Edition Notes

Includes bibliographical references.

Statementedited by Anil K. Jain, Patrick J. Flynn.
SeriesAdvances in image communication ;, 1
ContributionsJain, Anil K., 1948-, Flynn, P. J.
LC ClassificationsTA1634 .T48 1993
The Physical Object
Paginationx, 470 p. :
Number of Pages470
ID Numbers
Open LibraryOL1408388M
ISBN 100444897976
LC Control Number93016947

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Three-Dimensional Object Recognition Systems (Volume 1) (Advances in Image Communication (Volume 1)) [Jain BTech PhD, Anil K, Flynn, P.J.] on *FREE* shipping on qualifying offers. Three-Dimensional Object Recognition Systems (Volume 1) (Advances in Image Communication (Volume 1))Format: Hardcover. problem may be considered inherently as two-dimensional object recognition. Three-dimensional. If the images of objects can be obtained from arbitrary viewpoints, then an object may appear very different in its two views. For object recognition using three-dimensional models, the perspective effect and viewpoint of the image have to be Size: 1MB. T08iyasu L. Kunii PREFACE The primary aim of this book is to present a coherent and self-contained de­ scription of recent advances in three-dimensional object recognition from range images. Three-dimensional object recognition concerns recognition and localiza­ tion of objects of interest in a scene from input : Springer Japan. The discrimination capability of recognition systems is often challenged by arbitrary distortion and high intra-class variation of object patterns. This dissertation addresses several mathematical and computational methods for the recognition and classification by .

  Typically, such applications utilize sensor systems which allow for the generation of 3D data and perform matching in 3D space. Another way to determine the 3D pose of an object is to estimate the projection of the object location in 3D space onto a 2D camera : Marco Treiber. Recognition as an alignment problem: Block world Nice framework to develop fancy math, but too far from reality Object Recognition in the Geometric Era: a Retrospective. Joseph L. Mundy. L. G. Roberts, Machine Perception of Three Dimensional Solids, Ph.D. thesis, MIT Department of Electrical Engineering, File Size: 6MB. Get this from a library! Three-Dimensional Object Recognition from Range Images. [Minsoo Suk; Suchendra M Bhandarkar] -- The primary aim of this book is to present a coherent and self-contained description of recent developments in three-dimensional object recognition from range data. The problem of three-dimensional. Three-Dimensional Object Recognition and Registration for Robotic Grasping Systems Using a Modified Viewpoint Feature Histogram Chin-Sheng Chen, 1 Po-Chun Chen, 1 and Chih-Ming Hsu 2, * Teen-Hang Meen, Academic Editor, Shoou-Jinn Chang, Academic Editor, Stephen D. Prior, Academic Editor, and Artde Donald Kin Tak Lam, Academic EditorCited by: 9.

This paper presents a novel 3D feature descriptor for object recognition and to identify poses when there are six-degrees-of-freedom for mobile manipulation and grasping applications. Firstly, a Microsoft Kinect sensor is used to capture 3D point cloud data. A viewpoint feature histogram (VFH) descriptor for the 3D point cloud data then encodes the geometry and viewpoint, so an Cited by: 9. Three-Dimensional Object Recognition by Fourier Transform Profilometry Article (PDF Available) in Applied Optics 38(22) September with 73 Reads How we measure 'reads'. Three-Dimensional Object Recognition C. JAIN of Michigan, PAUL J. BESL AND RAMESH Department of Electrical Engineering Ann Arbor, Michigan and Computer Science, The University A general-purpose computer vision system must be capable of recognizing threedimensional (3-D) objects. This paper proposes a precise definition of the 3-D object . Three-dimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the three-dimensional geometry of the human face is used. It has been shown that 3D face recognition methods can achieve significantly higher accuracy than their 2D counterparts, rivaling fingerprint recognition.. 3D face recognition has the potential to achieve .