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» A Generative Model Based Approach to Motion Segmentation
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ICPR
2006
IEEE
14 years 2 months ago
A Statistical Assembled Model for Segmentation of Entire 3D Vasculature
We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically defor...
Judy Jun Feng, Horace Ho-Shing Ip
ICCV
2009
IEEE
2205views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Video stabilization using robust feature trajectories
This paper proposes a new approach for video stabilization. Most existing video stabilization methods adopt a framework of three steps, motion estimation, motion compensation an...
Ken-Yi Lee, Yung-Yu, Chuang Bing-Yu, Chen Ming Ouh...
VL
2005
IEEE
105views Visual Languages» more  VL 2005»
14 years 1 months ago
A Formal Approach to the Generation of Visual Language Environments Supporting Multiple Views
In this paper we present a formal approach, based on meta-modelling and graph transformation, to the generation of environments for visual languages (VLs) supporting multiple view...
Esther Guerra, Paloma Díaz, Juan de Lara
ISVC
2009
Springer
14 years 2 months ago
Top-Down Segmentation of Histological Images Using a Digital Deformable Model
Abstract. This paper presents a straightforward top-down segmentation method based on a contour approach on histological images. Our approach relies on a digital deformable model w...
François de Vieilleville, Jacques-Olivier L...
CVPR
2009
IEEE
15 years 3 months ago
A Stereo Approach that Handles the Matting Problem via Image Warping
We propose an algorithm that simultaneously extracts disparities and alpha matting information given a stereo image pair. Our method divides the reference image into a set of ov...
Michael Bleyer (Vienna University of Technology), ...