Logo

Current Advancements in Stereo Vision

Small book cover: Current Advancements in Stereo Vision

Current Advancements in Stereo Vision
by

Publisher: InTech
ISBN-13: 9789535106609
Number of pages: 224

Description:
The topics covered in this book include fundamental theoretical aspects of robust stereo correspondence estimation, novel and robust algorithms, hardware implementation for fast execution and applications in wide range of disciplines. Particularly interesting approaches include neuromorphic engineering, probabilistic analysis and anisotropic reaction diffusion addressing the problem of stereo correspondence and the applications in mobile robotics for autonomous terrain mapping and navigation.

Home page url

Download or read it online for free here:
Download link
(12MB, PDF)

Similar books

Book cover: What does the honeybee see? And how do we know?What does the honeybee see? And how do we know?
by - ANU E Press
The book is the only account of what the bee actually detects with its eyes. The erratic path to understanding makes interesting reading for anyone with an analytical mind who thinks about the methods of science or the engineering of seeing machines.
(12413 views)
Book cover: Face RecognitionFace Recognition
by - InTech
This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying potential research directions within the area.
(17435 views)
Book cover: Stereo VisionStereo Vision
by - InTech
The book comprehensively covers almost all aspects of stereo vision. In addition reader can find topics from defining knowledge gaps to the state of the art algorithms as well as current application trends of stereo vision.
(16543 views)
Book cover: Image SegmentationImage Segmentation
by - InTech
The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image.
(13766 views)