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» Color Models for Outdoor Machine Vision
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CVPR
2001
IEEE
14 years 9 months ago
Bayesian Color Constancy for Outdoor Object Recognition
Outdoor scene classification is challenging due to irregular geometry, uncontrolled illumination, and noisy reflectance distributions. This paper discusses a Bayesian approach to ...
Yanghai Tsin, Robert T. Collins, Visvanathan Rames...
ICVGIP
2004
13 years 9 months ago
Handling Occlusions in Monocular Surveillance Systems
Recent advances in computing machines and the availability of inexpensive vision sensors have paved the way for development of real-time imaging systems. Smart systems with a sing...
Prithwijit Guha, Nisarg Vyas, Amitabha Mukerjee, K...
IROS
2009
IEEE
162views Robotics» more  IROS 2009»
14 years 2 months ago
Intelligent vehicle localization using GPS, compass, and machine vision
— Intelligent vehicles require accurate localization relative to a map to ensure safe travel. GPS sensors are among the most useful sensors for outdoor localization, but they sti...
Somphop Limsoonthrakul, Matthew N. Dailey, Manukid...
WACV
2008
IEEE
14 years 2 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert
CVPR
2000
IEEE
14 years 9 months ago
Chromatic Framework for Vision in Bad Weather
Conventional vision systems are designed to perform in clear weather. However, any outdoor vision system is incomplete without mechanisms that guarantee satisfactory performance u...
Srinivasa G. Narasimhan, Shree K. Nayar