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» A Generative Model Based Approach to Motion Segmentation
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ICPR
2006
IEEE
16 years 13 days 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»
16 years 11 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»
15 years 12 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
16 years 29 days 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
17 years 1 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), ...