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Book
5396views
17 years 26 days ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li

Book
600views
17 years 28 days ago
Computer Vision: Algorithms and Applications
A DRAFT computer vision book by Prof. Richard Szeliski. The book reflects the author's wide experience in practical computer vision algorithms that he has developed while work...
Richard Szeliski
PUC
2007
113views more  PUC 2007»
15 years 1 months ago
Yesterday's tomorrows: notes on ubiquitous computing's dominant vision
Ubiquitous computing is unusual amongst technological research arenas. Most areas of computer science research, such as programming language implementation, distributed operating s...
Genevieve Bell, Paul Dourish
IJCAI
1993
15 years 3 months ago
Action Representation and Purpose: Re-evaluating the Foundations of Computational Vision
The traditional goal of computer vision, to reconstruct, or recover properties of, the scene has recently been challenged by advocates of a new purposive approach in which the vis...
Michael J. Black, Yiannis Aloimonos, Christopher M...
ICCV
2005
IEEE
15 years 7 months ago
Non-Orthogonal Binary Subspace and Its Applications in Computer Vision
This paper presents a novel approach that represents an image or a set of images using a nonorthogonal binary subspace (NBS) spanned by boxlike base vectors. These base vectors po...
Hai Tao, Ryan Crabb, Feng Tang