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» Statistical Models of Appearance for Computer Vision
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CVPR
2008
IEEE
16 years 5 months ago
Granularity and elasticity adaptation in visual tracking
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
Ming Yang, Ying Wu
144
Voted
ECCV
2008
Springer
16 years 5 months ago
Discriminative Learning for Deformable Shape Segmentation: A Comparative Study
Abstract. We present a comparative study on how to use discriminative learning methods such as classification, regression, and ranking to address deformable shape segmentation. Tra...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ECCV
2008
Springer
16 years 5 months ago
View Synthesis for Recognizing Unseen Poses of Object Classes
Abstract. An important task in object recognition is to enable algorithms to categorize objects under arbitrary poses in a cluttered 3D world. A recent paper by Savarese & Fei-...
Silvio Savarese, Fei-Fei Li 0002
121
Voted
ICPR
2006
IEEE
16 years 4 months ago
Part-Based Multi-Frame Registration for Estimation of the Growth Of Cellular Networks in Plant Roots
Motion estimation from confocal scanning laser microscope images of growing plant cell structures presents interesting challenges; motion exhibits multiple local discontinuities a...
Timothy J. Roberts, Stephen J. McKenna, J. Hans, T...
145
Voted
BMVC
2010
15 years 1 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins