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» Detecting Irregularities in Images and in Video
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FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 10 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
3DIM
2003
IEEE
14 years 1 months ago
A Discrete Reeb Graph Approach for the Segmentation of Human Body Scans
Segmentation of 3D human body (HB) scan is a very challenging problem in applications exploiting human scan data. To tackle this problem, this paper proposes a topological approac...
Yijun Xiao, Paul Siebert, Naoufel Werghi
PREMI
2005
Springer
14 years 2 months ago
Pattern Recognition in Video
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarw...
MICCAI
2002
Springer
14 years 9 months ago
Standardized Analysis of Intracranial Aneurysms Using Digital Video Sequences
CT-angiography is a well established medical imaging technique for the detection, evaluation and therapy planning of intracranial aneurysms. Different 3D visualization algorithms s...
Sabine Iserhardt-Bauer, Peter Hastreiter, Bernd To...
CVPR
2009
IEEE
15 years 3 months ago
Topology Dictionary with Markov Model for 3D Video Content-Based Skimming and Description
This paper presents a novel approach to skim and describe 3D videos. 3D video is an imaging technology which consists in a stream of 3D models in motion captured by a synchronized ...
Tony Tung (Kyoto University), Takashi Matsuyama (K...