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MVA
1994
100views Computer Vision» more  MVA 1994»
15 years 5 months ago
A Pixel Voting Method to Recover 3D Object Shape from 2D Images
The purpose of this study is to extract 3D information from 2D images passively. Though the voting technique is one of the passive methods to obtain the 3D information effectively...
Kenpo Tsuchiya, Shuji Hashimoto, Toshiaki Matsushi...
ICCV
2009
IEEE
15 years 1 months ago
High-resolution shape reconstruction from multiple range images based on simultaneous estimation of surface and motion
Recognition of dynamic scenes based on shape information could be useful for various applications. In this study, we aimed at improving the resolution of three-dimensional (3D) da...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
CVBIA
2005
Springer
15 years 9 months ago
Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge
Analysis of medical images, especially the extraction of anatomical structures, is a critical component of many medical applications: surgical planning and navigation, and populati...
W. Eric L. Grimson, Polina Golland
DAGM
2004
Springer
15 years 7 months ago
The Perceptual Influence of Spatiotemporal Noise on the Reconstruction of Shape from Dynamic Occlusion
Abstract. When an object moves, it covers and uncovers texture in the background. This pattern of change is sufficient to define the object's shape, velocity, relative depth, ...
Theresa Cooke, Douglas W. Cunningham, Heinrich H. ...
ICIP
2008
IEEE
16 years 5 months ago
Reference-based probabilistic segmentation as non-rigid registration using Thin Plate Splines
In this paper we demonstrate the effectiveness of reference (or atlas)-based non-rigid registration to the segmentation of medical and biological imagery. In particular we introdu...
Luca Bertelli, Pratim Ghosh, B. S. Manjunath, Fr&e...