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» Defining Computational Aesthetics
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CVPR
1999
IEEE
16 years 8 months ago
Probabilistic Recognition of Activity using Local Appearance
This paper addresses the problem of probabilistic recognition of activities from local spatio-temporal appearance. Joint statistics of space-time filters are employed to define hi...
Olivier Chomat, James L. Crowley
CVPR
1999
IEEE
16 years 8 months ago
Eigen-Texture Method: Appearance Compression Based on 3D Model
Image-based and model-based methods are two representative rendering methods for generating virtual images of objects from their real images. Extensive research on these two metho...
Ko Nishino, Yoichi Sato, Katsushi Ikeuchi
CVPR
2000
IEEE
16 years 8 months ago
Spatio-Temporal Analysis of Omni Image
This paper describes an efficient method to obtain 3D information by using spatio-temporal analysis of omni images for outdoor navigation and map-making in the intelligent transpo...
Hiroshi Kawasaki, Katsushi Ikeuchi, Masao Sakauchi
CVPR
2000
IEEE
16 years 8 months ago
Learning from One Example through Shared Densities on Transforms
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
CVPR
2000
IEEE
16 years 8 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky