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» Complex Salient Regions for Computer Vision Problems
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87
Voted
ICRA
2003
IEEE
210views Robotics» more  ICRA 2003»
15 years 3 months ago
A truncated least squares approach to the detection of specular highlights in color images
— One of the most difficult aspects of dealing with illumination effects in computer vision is accounting for specularity in the images of real objects. The specular regions in ...
Jae Byung Park, Avinash C. Kak
CVPR
2004
IEEE
16 years 3 days ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICCV
2003
IEEE
16 years 13 hour ago
Texture Segmentation by Multiscale Aggregation of Filter Responses and Shape Elements
Texture segmentation is a difficult problem, as is apparent from camouflage pictures. A Textured region can contain texture elements of various sizes, each of which can itself be ...
Meirav Galun, Eitan Sharon, Ronen Basri, Achi Bran...
77
Voted
ICPR
2008
IEEE
15 years 4 months ago
Non-rigid image registration based on the globally optimized correspondences
In this paper, we propose a new approach to the non-rigid image registration. This problem can be easily attacked if we can find regularly distributed correspondence points over ...
Hyung il Koo, Jung Gap Kuk, Nam Ik Cho
ACCV
1998
Springer
15 years 2 months ago
Learning Multiscale Image Models of 2D Object Classes
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa