|Statement||David A. Forsyth ... [et al.] (eds.).|
|Series||Lecture notes in computer science -- 1681.|
|LC Classifications||TA1634 .S47 1999|
|The Physical Object|
|Pagination||viii, 345 p. :|
|Number of Pages||345|
|LC Control Number||99056076|
Shape, Contour and Grouping in Computer Vision (Lecture Notes in Computer Science) [David A. Forsyth, Joseph L. Mundy, Vito di Gesu, Roberto Cipolla] on *FREE* shipping on . This book presents a unique collection of articles on shape, contour and grouping in computer vision. Besides revised versions of research papers originally presented at a workshop, the book contains . A contour is simply the boundary of an object in an image. Various representations of contours (e.g. chain code, Fourier descriptors, shape context) are used to recognize or categorize objects. This assumes . Abstract. Finding an appropriate set of features is an essential problem in the design of shape recognition systems. This paper attempts to show that for recognizing simple objects with high Cited by:
Shape, Contour and Grouping in Computer Vision (Lecture Notes in Computer Science) by UNIVERSITY OF CALIFORNIA, BERKELEY, CA, USA; JOSEPH L. MUNDY, DAVID A. FORSYTH ISBN . Shape, Contour and Grouping in Computer Vision. Previous Next. Abstract. No abstract available. Select All. Export Citations Save to Binder. ARTICLE. Shape, Contour and Grouping in Computer . Shape, Contour and Grouping in Computer Vision [electronic resource] / edited by David A. Forsyth, Joseph L. Mundy, Vito di Gesu, Roberto Cipolla. Edition: 1st ed. Full text of "Shape, contour, and grouping in computer vision" See other formats.
Contour segment grouping for object detection. q. Hui Wei puter vision and image analysis, which seeks to locate and identify points from a shape contour as N. Discover Book Depository's huge selection of Joseph L Mundy books online. Free delivery worldwide on over 20 million titles. from book Shape, Contour and Grouping in Computer Vision (pp) Order Structure, Correspondence, and Shape Based Categories Chapter October with 46 Reads. Shape Detection in Computer Vision Using the Hough Transform fills an obvious gap in the existing market. It is an important textbook which will provide postgraduate students with a thorough grounding 5/5(1).