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ICCV
2005
IEEE
16 years 5 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
131
Voted
ICCV
2001
IEEE
16 years 5 months ago
What Value Covariance Information in Estimating Vision Parameters?
Many parameter estimation methods used in computer vision are able to utilise covariance information describing the uncertainty of data measurements. This paper considers the valu...
Michael J. Brooks, Wojciech Chojnacki, Darren Gawl...
ECCV
2008
Springer
16 years 5 months ago
Pose Priors for Simultaneously Solving Alignment and Correspondence
Abstract. Estimating a camera pose given a set of 3D-object and 2Dimage feature points is a well understood problem when correspondences are given. However, when such correspondenc...
Francesc Moreno-Noguer, Vincent Lepetit, Pascal Fu...
ECCV
2004
Springer
16 years 5 months ago
Classifying Materials from Their Reflectance Properties
We explore the possibility of recognizing the surface material from a single image with unknown illumination, given the shape of the surface. Model-based PCA is used to create a lo...
Peter Nillius, Jan-Olof Eklundh
ECCV
2006
Springer
16 years 5 months ago
Studying Aesthetics in Photographic Images Using a Computational Approach
Aesthetics, in the world of art and photography, refers to the principles of the nature and appreciation of beauty. Judging beauty and other aesthetic qualities of photographs is a...
Ritendra Datta, Dhiraj Joshi, Jia Li, James Ze Wan...