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» Shadow Detection by Integrating Multiple Features
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CVPR
2009
IEEE
14 years 9 days ago
Robust shadow and illumination estimation using a mixture model
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
Alexandros Panagopoulos, Dimitris Samaras, Nikos P...
PG
2002
IEEE
13 years 10 months ago
Estimation of Multiple Directional Light Sources for Synthesis of Mixed Reality Images
We present a new method for the detection and estimation of multiple directional illuminants, using a single image of any object with known geometry and Lambertian reflectance. W...
Yang Wang, Dimitris Samaras
CVPR
2009
IEEE
15 years 18 days ago
Multiple Instance Feature for Robust Part-based Object Detection
Feature misalignment in object detection refers to the phenomenon that features which re up in some positive detection windows do not re up in other pos- itive detection windo...
Zhe Lin (University of Maryland at College Park), ...
CLEAR
2006
Springer
133views Biometrics» more  CLEAR 2006»
13 years 9 months ago
Multi-feature Graph-Based Object Tracking
We present an object detection and tracking algorithm that addresses the problem of multiple simultaneous targets tracking in realworld surveillance scenarios. The algorithm is bas...
Murtaza Taj, Emilio Maggio, Andrea Cavallaro
CVPR
2008
IEEE
13 years 7 months ago
Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection
A large variety of image features has been invented for detection of objects of a known class. We propose a framework to optimize the discrimination-efficiency tradeoff in integra...
Bo Wu, Ram Nevatia