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» Detecting Video Forgeries Based on Noise Characteristics
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VIS
2004
IEEE
174views Visualization» more  VIS 2004»
14 years 8 months ago
A Graphics Hardware-Based Vortex Detection and Visualization System
Feature detection in flow fields is a well researched area, but practical application is often difficult due to the numerical complexity of the algorithms preventing interactive u...
Simon Stegmaier, Thomas Ertl
IVC
2007
266views more  IVC 2007»
13 years 7 months ago
Face detection and facial feature localization without considering the appearance of image context
Face and facial feature detection plays an important role in various applications such as human computer interaction, video surveillance, face tracking, and face recognition. Effi...
Suphakant Phimoltares, Chidchanok Lursinsap, Kosin...
CVPR
2010
IEEE
14 years 3 months ago
3D Shape Scanning with a Time-of-Flight Camera
We describe a method for 3D object scanning by aligning depth scans that were taken from around an object with a time-of-flight camera. These ToF cameras can measure depth scans ...
Christian Theobalt, Yan Cui, Sebastian Schuon, Seb...
ICC
2007
IEEE
14 years 1 months ago
Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN
Abstract—Spectral sensing for the presence of ATSC DTV signals in VHF/UHF TV bands under a very low SNR environment is one of the core technologies in IEEE 802.22 WRAN. There are...
Hou-Shin Chen, Wen Gao, David G. Daut
CIVR
2008
Springer
207views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Accumulated motion energy fields estimation and representation for semantic event detection
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...