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» Modeling shapes and textures from images: new frontiers
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CVPR
2009
IEEE
15 years 4 months ago
Automatic facial landmark labeling with minimal supervision
Landmark labeling of training images is essential for many learning tasks in computer vision, such as object detection, tracking, and alignment. Image labeling is typically conduc...
Yan Tong, Xiaoming Liu 0002, Frederick W. Wheeler,...
VR
2003
IEEE
211views Virtual Reality» more  VR 2003»
15 years 2 months ago
Editing Real World Scenes: Augmented Reality with Image-based Rendering
We present a method that using only an uncalibrated camera allows the capture of object geometry and appearance, and then at a later stage registration and AR overlay into a new s...
Dana Cobzas, Martin Jägersand, Keith Yerex
77
Voted
ECCV
2010
Springer
15 years 2 months ago
Compressive Acquisition of Dynamic Scenes
Abstract. Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals and images that enables sampling rates significantly below the classical Ny...
ECCV
2006
Springer
15 years 11 months ago
Self-calibration of a General Radially Symmetric Distortion Model
Abstract. We present a new approach for self-calibrating the distortion function and the distortion center of cameras with general radially symmetric distortion. In contrast to mos...
Jean-Philippe Tardif, Peter F. Sturm, Sébas...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
15 years 2 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...