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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 7 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...
ICCV
2005
IEEE
14 years 9 months ago
Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
DICTA
2003
13 years 9 months ago
Globally Optimal Surfaces by Continuous Maximal Flows
Abstract. In this paper we solve the problem of computing exact continuous optimal curves and surfaces for image segmentation and 3D reconstruction, using a maximal flow approach ...
Ben Appleton, Hugues Talbot
CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 7 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
ICPR
2010
IEEE
14 years 1 months ago
Social Network Approach to Analysis of Soccer Game
Video understanding has been an active area of research, where many articles have been published on how to detect and track objects in videos, and how to analyze their trajectorie...
Kyoung-Jin Park, Alper Yilmaz