Object Detection in Real Images
by Dilip K. Prasad
Publisher: arXiv 2013
Number of pages: 123
Description:
We propose a new object detection/recognition method, which improves over the existing methods in every stage of the object detection/recognition process. In addition to the usual features, we propose to use geometric shapes, like linear cues, ellipses and quadrangles, as additional features.
Download or read it online for free here:
Download link
(4.1MB, PDF)
Similar books

by Peng-Yeng Yin - IN-TECH
The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms.
(13424 views)

by Asim Bhatti (ed.) - InTech
The topics covered in this book include fundamental theoretical aspects of robust stereo correspondence estimation, novel and robust algorithms, hardware implementation for fast execution, neuromorphic engineering, probabilistic analysis, etc.
(8428 views)

by Rustam Stolkin - InTech
This book reports recent advances in the use of pattern recognition techniques for computer and robot vision. The areas of low level vision such as segmentation, edge detection, and region identification, are the focus of this book.
(9875 views)

by Andrew Blake, Andrew Zisserman - The MIT Press
Visual Reconstruction presents a unified and highly original approach to the treatment of continuity in vision. The book introduces two new concepts: the weak continuity constraint and the graduated nonconvexity algorithm.
(10670 views)