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» Non-linear image processing in hardware
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FGR
2004
IEEE
167views Biometrics» more  FGR 2004»
13 years 11 months ago
Adaptive Learning of an Accurate Skin-Color Model
Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture t...
Qiang Zhu, Kwang-Ting Cheng, Ching-Tung Wu, Yi-Leh...
SMI
2008
IEEE
255views Image Analysis» more  SMI 2008»
14 years 1 months ago
GPU-accelerated surface denoising and morphing with lattice Boltzmann scheme
In this paper, we introduce a parallel numerical scheme, the lattice Boltzmann method, to shape modeling applications. The motivation of using this originally-designed fluid dyna...
Ye Zhao
ICMCS
2006
IEEE
130views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Directional Weighting-Based Demosaicking Algorithm for Noisy CFA Environments
Captured CFA data by image sensors like CCD/or CMOS are often corrupted by noises. To produce high quality images acquired by CCD/CMOS digital cameras, the problem of noise needs ...
Hung-Yi Lo, Tsung-Nan Lin, Chih-Lung Hsu, Cheng-hs...
IROS
2006
IEEE
140views Robotics» more  IROS 2006»
14 years 1 months ago
Developing a non-intrusive biometric environment
— The development of large scale biometric systems requires experiments to be performed on large amounts of data. Existing capture systems are designed for fixed experiments and...
Lee Middleton, David K. Wagg, Alex I. Bazin, John ...
CGF
2008
127views more  CGF 2008»
13 years 7 months ago
Viewfinder Alignment
The viewfinder of a digital camera has traditionally been used for one purpose: to display to the user a preview of what is seen through the camera's lens. High quality camer...
Andrew Adams, Natasha Gelfand, Kari Pulli