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» Image Based Regression Using Boosting Method
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TVCG
2008
162views more  TVCG 2008»
15 years 3 months ago
3D Modeling of Optically Challenging Objects
We present a system for constructing 3D models of real-world objects with optically challenging surfaces. The system utilizes a new range imaging concept called multipeak range ima...
Johnny Park, Avinash C. Kak
IPMI
2009
Springer
15 years 8 months ago
Dense Registration with Deformation Priors
Abstract. In this paper we propose a novel approach to define task-driven regularization constraints in deformable image registration using learned deformation priors. Our method ...
Ben Glocker, Nikos Komodakis, Nassir Navab, Georgi...
ECCV
2004
Springer
16 years 5 months ago
Stretching Bayesian Learning in the Relevance Feedback of Image Retrieval
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
Ruofei Zhang, Zhongfei (Mark) Zhang
TIP
2011
123views more  TIP 2011»
14 years 10 months ago
Spatial Sparsity-Induced Prediction (SIP) for Images and Video: A Simple Way to Reject Structured Interference
We propose a prediction technique that is geared toward forming successful estimates of a signal based on a correlated anchor signal that is contaminated with complex interference...
Gang Hua, Onur G. Guleryuz
TIP
2010
255views more  TIP 2010»
14 years 10 months ago
Image Super-Resolution Via Sparse Representation
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma