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» Probability Models for High Dynamic Range Imaging
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DPHOTO
2009
116views Hardware» more  DPHOTO 2009»
14 years 7 months ago
Interleaved imaging: an imaging system design inspired by rod-cone vision
Under low illumination conditions, such as moonlight, there simply are not enough photons present to create a high quality color image with integration times that avoid camera-sha...
Manu Parmar, Brian A. Wandell
ICIP
2005
IEEE
15 years 11 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
IJCV
2002
129views more  IJCV 2002»
14 years 9 months ago
A Hierarchical Symmetric Stereo Algorithm Using Dynamic Programming
In this paper, a new hierarchical stereo algorithm is presented. The algorithm matches individual pixels in corresponding scanlines by minimizing a cost function. Several cost fun...
G. Van Meerbergen, Maarten Vergauwen, Marc Pollefe...
SMC
2010
IEEE
148views Control Systems» more  SMC 2010»
14 years 8 months ago
A random finite set based detection and tracking using 3D LIDAR in dynamic environments
—In this paper we describe a fully integrated system for detecting and tracking pedestrians in a dynamic urban environment. The system can reliably detect and track pedestrians t...
Bharath Kalyan, K. W. Lee, W. Sardha Wijesoma, D. ...
CVPR
2004
IEEE
15 years 11 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson