ELCVIA

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ELCVIA	4 registres trobats	La cerca s'ha fet en 0.01 segons.

14 p, 994.3 KB

Automatic Abdominal Organ Segmentation from CT images / Campadelli, Paola (Universita degli studi di Milano. Department of Computer Science) ; Casiraghi, Elena (Universita degli studi di Milano. Department of Computer Science) ; Pratissoli, Stella (Universita degli studi di Milano. Department of Computer Science) ; Lombardi, Gabriele (Universita degli studi di Milano. Department of Computer Science)
In the recent years a great deal of research work has been devoted to the development of semi-automatic and automatic techniques for the analysis of abdominal CT images. Some of the current interests are the automatic diagnosis of liver, spleen, and kidney pathologies and the 3D volume rendering of the abdominal organs. [...]
2009 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.206
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 1 (2009) p. 1-14

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12 p, 266.4 KB

Gait Identification Considering Body Tilt byWalking Direction Changes / Makihara, Yasushi (Osaka University. Department of Intelligent Media) ; Sagawa, Ryusuke (Osaka University. Department of Intelligent Media) ; Mukaigawa, Yasuhiro (Osaka University. Department of Intelligent Media) ; Echigo, Tomio (Osaka Electro-Communication University. Department of Engineering Informatics) ; Yagi, Yasushi (Osaka University. Department of Intelligent Media)
Gait identification has recently gained attention as a method of identifying individuals at a distance. Thought most of the previous works mainly treated straight-walk sequences for simplicity, curved-walk sequences should be also treated considering situations where a person walks along a curved path or enters a building from a sidewalk. [...]
2009 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.257
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 1 (2009) p. 15-26

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17 p, 14.4 MB

Realtime Kernel based Tracking / Chateau, Thierry (CNRS/Blaise-Pascal University) ; Lapresté, J. T. (CNRS/Blaise-Pascal University)
We present a solution for realtime tracking of a planar pattern. Tracking is seen as the estimation of a parametric function between observations and motion and we propose an extension of the learning based approach presented simultaneously by Cootes and al. [...]
2009 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.224
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 1 (2009) p. 27-43

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13 p, 2.1 MB

Depth Recovery of Complex Surfaces from Texture-less Pairs of Stereo Images / Kumar, S. (University of Udine (Itàlia). Department of Mathematics and Computer Science) ; Kumary, M. (Indian Institute of Technology Roorkee. Department of Mathematics) ; Sukavanamy, N. (Indian Institute of Technology Roorkee. Department of Mathematics) ; Balasubramaniany, R. (Indian Institute of Technology Roorkee. Department of Mathematics) ; Bhargava, R. (Indian Institute of Technology Roorkee. Department of Mathematics)
In this paper, a novel framework is presented to recover the 3D shape information of a complex surface using its texture-less stereo images. First a linear and generalized Lambertian model is proposed to obtain the depth information by shape from shading (SfS) using an image from stereo pair. [...]
2009 - DOI (Digital Object Identifier)

10.5565/rev/elcvia.316
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, V. 8 n. 1 (2009) p. 44-56

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