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» Learning 3-D object orientation from images
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CVPR
2006
IEEE
16 years 25 days ago
Learning Object Shape: From Drawings to Images
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the pro...
Gal Elidan, Geremy Heitz, Daphne Koller
JOT
2007
108views more  JOT 2007»
14 years 10 months ago
Diffraction Rangefinding in Java
We describe a prototype of a diffraction range finding camera implemented in, and simulated by, Java. This sensor is able to digitize objects in 3D using only a single video camer...
Douglas Lyon
CVIU
2004
115views more  CVIU 2004»
14 years 10 months ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
95
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COMPGEOM
2009
ACM
15 years 5 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec
99
Voted
CRV
2004
IEEE
147views Robotics» more  CRV 2004»
15 years 2 months ago
Shape from Contours and Multiple Stereo - A Hierarchical, Mesh-Based Approach
We present a novel method for 3D shape recovery based on a combination of visual hull information and multi image stereo. We start from a coarse triangle mesh extracted from visua...
Hendrik Kiick, Wolfgang Heidrich, Christian Vogelg...