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» Describing Objects by their Attributes
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CVPR
2000
IEEE
16 years 6 months ago
Reconstruction of a Scene with Multiple Linearly Moving Objects
We describe an algorithmfor reconstructing a scene containing multiple moving objects. Given a monocular image sequence, we recover the scene structure, the trajectories of the mo...
Mei Han, Takeo Kanade
CVPR
2007
IEEE
16 years 6 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
ICCV
2003
IEEE
16 years 6 months ago
Surface Reflectance Modeling of Real Objects with Interreflections
In mixed reality, especially in augmented virtuality which virtualizes real objects, it is important to estimate object surface reflectance properties to render the objects under ...
Takashi Machida, Naokazu Yokoya, Haruo Takemura
ICIP
1995
IEEE
16 years 5 months ago
Genetic algorithms for object recognition in a complex scene
A real-world computer vision module must deal with a wide variety of environmental parameters. Object recognition, one of the major tasks of this vision module, typically requires...
Daniel L. Swets, B. Punch, Juyang Weng
ICDE
2006
IEEE
177views Database» more  ICDE 2006»
16 years 5 months ago
Closest-Point-of-Approach Join for Moving Object Histories
In applications that produce a large amount of data describing the paths of moving objects, there is a need to ask questions about the interaction of objects over a long recorded ...
Subramanian Arumugam, Chris Jermaine