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CVIU
2008
75views more  CVIU 2008»
13 years 7 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 6 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 2 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...
CVPR
2000
IEEE
14 years 9 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
PUC
2002
143views more  PUC 2002»
13 years 7 months ago
TRIP: A Low-Cost Vision-Based Location System for Ubiquitous Computing
: Sentient Computing provides computers with perception so that they can react and provide assistance to user activities. Physical spaces are made sentient when they are wired with...
Diego López de Ipiña, Paulo R. S. Me...