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AI
2001
Springer
14 years 1 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
FGR
2008
IEEE
166views Biometrics» more  FGR 2008»
13 years 11 months ago
Recognizing talking faces from acoustic Doppler reflections
Face recognition algorithms typically deal with the classification of static images of faces that are obtained using a camera. In this paper we propose a new sensing mechanism bas...
Kaustubh Kalgaonkar, Bhiksha Raj
CHI
2008
ACM
14 years 10 months ago
ArtLinks: fostering social awareness and reflection in museums
Technologies in museums often support learning goals, providing information about exhibits. However, museum visitors also desire meaningful experiences and enjoy the social aspect...
Dan Cosley, Joel Lewenstein, Andrew Herman, Jenna ...
TOG
2008
137views more  TOG 2008»
13 years 8 months ago
A layered, heterogeneous reflectance model for acquiring and rendering human skin
We introduce a layered, heterogeneous spectral reflectance model for human skin. The model captures the inter-scattering of light among layers, each of which may have an independe...
Craig Donner, Tim Weyrich, Eugene d'Eon, Ravi Rama...
ECCV
2010
Springer
13 years 11 months ago
Image Invariants for Smooth Reflective Surfaces
Image invariants are those properties of the images of an object that remain unchanged with change in camera parameters, illumination etc. In this paper, we derive an image invari...