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148
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PAMI
2010
190views more  PAMI 2010»
15 years 2 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
125
Voted
CVPR
2010
IEEE
15 years 3 months ago
Illumination compensation based change detection using order consistency
We present a change detection method resistant to global and local illumination variations for use in visual surveillance scenarios. Approaches designed thus far for robustness to...
Vasu Parameswaran, Maneesh Singh, Visvanathan Rame...
130
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CAIP
2007
Springer
143views Image Analysis» more  CAIP 2007»
15 years 9 months ago
A Level Set Bridging Force for the Segmentation of Dendritic Spines
The paper focusses on a group of segmentation problems dealing with 3D data sets showing thin objects that appear disconnected in the data due to partial volume effects or a large...
Karsten Rink, Klaus D. Tönnies
118
Voted
CVIU
2007
113views more  CVIU 2007»
15 years 3 months ago
Primal sketch: Integrating structure and texture
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu
134
Voted
IPMI
2009
Springer
16 years 4 months ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...