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EMMCVPR
2007
Springer
14 years 2 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
HAPTICS
2002
IEEE
14 years 1 months ago
Computationally Efficient Techniques for Real Time Surgical Simulation with Force Feedback
In this paper, we present computationally efficient algorithms for the real time simulation of minimally invasive surgical (MIS) procedures. To develop a surgical simulator for tr...
Jung Kim, Suvranu De, Mandayam A. Srinivasan
TMI
2008
154views more  TMI 2008»
13 years 8 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
CVPR
2012
IEEE
11 years 10 months ago
3D landmark model discovery from a registered set of organic shapes
We present a machine learning framework that automatically generates a model set of landmarks for some class of registered 3D objects: here we use human faces. The aim is to repla...
Clement Creusot, Nick Pears, Jim Austin
ECCV
2010
Springer
14 years 16 days ago
Efficient Highly Over-Complete Sparse Coding using a Mixture Model
Sparse coding of sensory data has recently attracted notable attention in research of learning useful features from the unlabeled data. Empirical studies show that mapping the data...