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PRL
2006
129views more  PRL 2006»
13 years 7 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
ICCV
2005
IEEE
14 years 9 months ago
Eliminating Structure and Intensity Misalignment in Image Stitching
The aim of this paper is to achieve seamless image stitching for eliminating obvious visual artifact caused by severe intensity discrepancy, image distortion and structure misalig...
Jiaya Jia, Chi-Keung Tang
MICCAI
2002
Springer
14 years 8 months ago
An Automated Segmentation Method of Kidney Using Statistical Information
: This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...
IVC
2007
187views more  IVC 2007»
13 years 7 months ago
Non-rigid structure from motion using ranklet-based tracking and non-linear optimization
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
Alessio Del Bue, Fabrizio Smeraldi, Lourdes de Aga...
PCM
2005
Springer
157views Multimedia» more  PCM 2005»
14 years 1 months ago
Segmentation of the Liver Using the Deformable Contour Method on CT Images
Abstract. Automatic liver segmentation from abdominal computed tomography (CT) images is one of the most important steps for computeraided diagnosis (CAD) for liver CT. However, th...
Seong-Jae Lim, Yong-Yeon Jeong, Yo-Sung Ho