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» Modelling perception using image processing algorithms
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RT
2001
Springer
13 years 11 months ago
Measuring the Perception of Visual Realism in Images
One of the main goals in realistic rendering is to generate images that are indistinguishable from photographs – but how do observers decide whether an image is photographic or c...
Paul Rademacher, Jed Lengyel, Edward Cutrell, Turn...
NIPS
1997
13 years 8 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ICIP
2005
IEEE
14 years 9 months ago
Flow lookup and biological motion perception
Optical flow in monocular video can serve as a key for recognizing and tracking the three-dimensional pose of human subjects. In comparison with prior work using silhouettes as a ...
Nicholas R. Howe
FGR
2008
IEEE
156views Biometrics» more  FGR 2008»
13 years 9 months ago
Modelling human perception of static facial expressions
Data collected through a recent web-based survey show that the perception (i.e. labeling) of a human facial expression by a human observer is a subjective process, which results i...
Matteo Sorci, Jean-Philippe Thiran, J. Cruz, T. Ro...
GI
2007
Springer
14 years 1 months ago
Fuzzy Operators for Confidence Modelling in Automotive Safety Applications
: The fusion of data from different sensorial sources is the most promising method to increase robustness and reliability of environmental perception today. The paper presents an a...
Ulrich Scheunert, Philipp Lindner, Eric Richter, G...