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» Adaptive appearance learning for visual object tracking
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DAGM
2010
Springer
13 years 7 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 9 days 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...
ECCV
2004
Springer
14 years 1 months ago
Multi-model Component-Based Tracking Using Robust Information Fusion
Abstract. One of the most difficult aspects of visual object tracking is the handling of occlusions and target appearance changes due to variations in illumination and viewing dir...
Bogdan Georgescu, Dorin Comaniciu, Tony X. Han, Xi...
VR
2003
IEEE
211views Virtual Reality» more  VR 2003»
14 years 29 days 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
PAMI
2012
11 years 10 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona