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» Image Capture Modelling for High Resolution Reconstruction
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ICCV
2011
IEEE
14 years 1 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
ICIP
2009
IEEE
16 years 2 months ago
Circular Blurred Shape Model For Symbol Spotting In Documents
Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...
TMI
2008
108views more  TMI 2008»
15 years 1 months ago
Estimation and Statistical Bounds for Three-Dimensional Polar Shapes in Diffuse Optical Tomography
Abstract--Voxel-based reconstructions in diffuse optical tomography (DOT) using a quadratic regularization functional tend to produce very smooth images due to the attenuation of h...
Gregory Boverman, Eric L. Miller, Dana H. Brooks, ...
SIAMIS
2011
14 years 4 months ago
Level Set Based Multispectral Segmentation with Corners
In this paper we propose an active contour model for segmentation based on the Chan-Vese model. The new model can capture inherent sharp features, i.e., the sharp corners of object...
Wenhua Gao, Andrea L. Bertozzi
CGF
2010
177views more  CGF 2010»
15 years 6 days ago
Condenser-Based Instant Reflectometry
We present a technique for rapid capture of high quality bidirectional reflection distribution functions(BRDFs) of surface points. Our method represents the BRDF at each point by ...
Yanxiang Lan, Yue Dong, Jiaping Wang, Xin Tong, Ba...