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: Computer Vision: Models, Learning, and InferenceComputer Vision: Models, Learning, and Inference
by - Cambridge University Press
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use data to learn the relationships between the observed image data and the aspects that we wish to estimate.
(11164 views)
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.
(5491 views)
Book cover: Computer VisionComputer Vision
by - InTech
This book presents research trends on computer vision, especially on application of robotics, and on advanced approaches for computer vision. Research on RFID technology integrating stereo vision to localize an indoor mobile robot is included.
(7823 views)
Book cover: Vision SystemsVision Systems
by - Cardiff School of Computer Science
From the table of contents: Image Acquisition: 2D Image Input, 3D imaging; Image processing: Fourier Methods, Smoothing Noise; Edge Detection; Edge Linking; Segmentation; Line Labelling; Relaxation Labelling; Optical Flow; Object Recognition.
(8146 views)