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» Recognizing 3D Objects Using Photometric Invariant
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ICIP
2007
IEEE
14 years 7 months ago
Applying Color Names to Image Description
Photometric invariance is a desired property for color image descriptors. It ensures that the description has a certain robustness with respect to scene incidental variations such...
Joost van de Weijer, Cordelia Schmid
ICCV
2001
IEEE
14 years 7 months ago
Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera
We present a new on-line scheme for the recognition and pose estimation of a large isolated 3-D object, which may not entirely fit in a camera's field of view. We do not assu...
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis B...
IUI
2011
ACM
12 years 8 months ago
Protractor3D: a closed-form solution to rotation-invariant 3D gestures
Protractor 3D is a gesture recognizer that extends the 2D touch screen gesture recognizer Protractor [8] to 3D gestures. It inherits many of Protractor’s desirable properties, s...
Sven G. Kratz, Michael Rohs
MVA
1994
235views Computer Vision» more  MVA 1994»
13 years 7 months ago
Obtaining 3-D shape from Silhouette Informations Interpolated by Photometric Stereo
The idea of photometric stereo is to serially vary the direction of incident illumination on the state of the holded view point, but it can locally reconstruct only the front surf...
Changsuk Cho, Haruyuki Minamitani
ECCV
2000
Springer
14 years 7 months ago
Learning to Recognize 3D Objects with SNoW
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja