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ICCV
2007
IEEE
14 years 11 months ago
Limits of Learning-Based Superresolution Algorithms
Learning-based superresolution (SR) are popular SR techniques that use application dependent priors to infer the missing details in low resolution images (LRIs). However, their pe...
Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung T...
ICPR
2008
IEEE
14 years 10 months ago
Accelerating active contour algorithms with the Gradient Diffusion Field
Active contours were proposed by Kass et al. as a way to represent the contours of an image. Although the method is simple, one of its shortcomings is its inability to converge in...
Willie Kiser, Pradeep Sen, Chris Musial
CAMP
2005
IEEE
14 years 2 months ago
Development of a Bit-Level Compiler for Massively Parallel Vision Chips
Abstract— An image sensor in which each pixel has a processing element is called a vision chip. The vision chip can perform real-time visual processing at a high frame rate of 10...
Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa,...
ICPR
2004
IEEE
14 years 10 months ago
Integration Frameworks for Large Scale Cognitive Vision Systems - An Evaluative Study
Owing to the ever growing complexity of present day computer vision systems, system architecture has become an emerging topic in vision research. Systems that integrate numerous m...
Christian Bauckhage, Gerhard Sagerer, Markus Vincz...
AGI
2011
13 years 26 days ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel