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» The RIM Framework for Image Processing
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CVPR
2006
IEEE
15 years 3 months ago
Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
We present an algorithm for jointly learning a consistent bidirectional generative-recognition model that combines top-down and bottom-up processing for monocular 3d human motion ...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
ICASSP
2008
IEEE
15 years 4 months ago
Distributed multi-dimensional hidden Markov models for image and trajectory-based video classifications
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...
Xiang Ma, Dan Schonfeld, Ashfaq A. Khokhar
SMI
2008
IEEE
118views Image Analysis» more  SMI 2008»
15 years 4 months ago
A least-norm approach to flattenable mesh surface processing
Following the definition of developable surface in differential geometry, the flattenable mesh surface, a special type of piecewiselinear surface, inherits the good property of ...
Charlie C. L. Wang
ECCV
2008
Springer
15 years 11 months ago
Brain Hallucination
Abstract. In this paper, we investigate brain hallucination, or generating a high resolution brain image from an input low-resolution image, with the help of another high resolutio...
François Rousseau
SIBGRAPI
1999
IEEE
15 years 2 months ago
Developing Morphological Building Blocks: From Design to Implementation
Abstract. Mathematical morphology has become a widely used technique for image processing and computer vision. Initially designed as a set theory, it was generalized to the set of ...
Marcos Cordeiro d'Ornellas, Rein van den Boomgaard