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» Statistical Models of Appearance for Computer Vision
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SCALESPACE
2009
Springer
15 years 10 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
CVPR
2006
IEEE
15 years 10 months ago
Motion Patterns: High-Level Representation of Natural Video Sequences
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
Duangmanee Putthividhya, Te-Won Lee
ICCV
2005
IEEE
15 years 9 months ago
Exploring the Space of a Human Action
One of the fundamental challenges of recognizing actions is accounting for the variability that arises when arbitrary cameras capture humans performing actions. In this paper, we ...
Yaser Sheikh, Mumtaz Sheikh, Mubarak Shah
EMMCVPR
2009
Springer
15 years 7 months ago
Reconstructing Optical Flow Fields by Motion Inpainting
An edge-sensitive variational approach for the restoration of optical flow fields is presented. Real world optical flow fields are frequently corrupted by noise, reflection artifac...
Benjamin Berkels, Claudia Kondermann, Christoph S....
ECCV
2010
Springer
15 years 4 months ago
Segmenting Salient Objects from Images and Videos
Abstract. In this paper we introduce a new salient object segmentation method, which is based on combining a saliency measure with a conditional random field (CRF) model. The propo...
Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkil...