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» Interactive Image Segmentation Using an Adaptive GMMRF Model
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98
Voted
ICMCS
1999
IEEE
234views Multimedia» more  ICMCS 1999»
15 years 6 months ago
Spatiotemporal Segmentation and Tracking of Objects for Visualization of Videoconference Image Sequences
Abstract--In this paper, a procedure is described for the segmentation, content-based coding, and visualization of videoconference image sequences. First, image sequence analysis i...
Ioannis Kompatsiaris, Michael G. Strintzis
87
Voted
IROS
2009
IEEE
120views Robotics» more  IROS 2009»
15 years 8 months ago
Interactive learning of visually symmetric objects
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
Wai Ho Li, Lindsay Kleeman
110
Voted
CVPR
1998
IEEE
16 years 3 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
ICIP
2004
IEEE
16 years 3 months ago
Adaptive eigen-backgrounds for object detection
Most tracking algorithms detect moving objects by comparing incoming images against a reference frame. Crucially, this reference image must adapt continuously to the current light...
Jonathan D. Rymel, John-Paul Renno, Darrel Greenhi...
142
Voted
CAIP
2003
Springer
202views Image Analysis» more  CAIP 2003»
15 years 7 months ago
Modeling Adaptive Deformations during Free-Form Pose Estimation
In this article we discuss the 2D-3D pose estimation problem of deformable 3D free-form contours. In our scenario we observe objects of any 3D shape in an image of a calibrated cam...
Bodo Rosenhahn, Christian Perwass, Gerald Sommer