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CVIU
2008
75views more  CVIU 2008»
13 years 10 months ago
Performance characterization in computer vision: A guide to best practices
It is frequently remarked that designers of computer vision algorithms and systems cannot reliably predict how algorithms will respond to new problems. A variety of reasons have b...
Neil A. Thacker, Adrian F. Clark, John L. Barron, ...
KI
2010
Springer
13 years 8 months ago
Towards High-Level Human Activity Recognition through Computer Vision and Temporal Logic
Most approaches to the visual perception of humans do not include high-level activity recognitition. This paper presents a system that fuses and interprets the outputs of several c...
Joris Ijsselmuiden, Rainer Stiefelhagen
VLUDS
2010
270views Visualization» more  VLUDS 2010»
13 years 4 months ago
Detection and Identification Techniques for Markers Used in Computer Vision
This paper summarizes and compares techniques for detecting and identifying markers in the context of computer vision. Existing approaches use correlation, digital, or topological...
Johannes Köhler, Alain Pagani, Didier Stricke...
DICTA
2003
13 years 11 months ago
Model Selection Criteria in Computer Vision: Are They Different?
 This paper presents an extensive survey of  model selection techniques for  computer vision applications. A large number of existing model selection criteria...
Niloofar Gheissari, Alireza Bab-Hadiashar
IBPRIA
2005
Springer
14 years 3 months ago
A Computer Vision Sensor for Panoramic Depth Perception
A practical way for obtaining depth in computer vision is the use of structured light systems. For panoramic depth reconstruction several images are needed which most likely implie...
Radu Orghidan, El Mustapha Mouaddib, Joaquim Salvi