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» Statistical Models of Appearance for Computer Vision
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ICPR
2006
IEEE
16 years 4 months ago
Seeing Around Occluding Objects
This paper presents a novel method for the removal of unwanted image intensity due to occluding objects far from the plane of focus. Such occlusions may arise in scenes with large...
Kaleem Siddiqi, Michael S. Langer, Scott McCloskey
CVPR
2009
IEEE
16 years 10 months ago
Geometric Reasoning for Single Image Structure Recovery
We study the problem of generating plausible interpretations of a scene from a collection of line segments automatically extracted from a single indoor image. We show that we ca...
David C. Lee, Martial Hebert, Takeo Kanade
ECCV
1994
Springer
16 years 5 months ago
Visual Tracking of High DOF Articulated Structures: an Application to Human Hand Tracking
Passive sensing of human hand and limb motion is important for a wide range of applications from human-computer interaction to athletic performance measurement. High degree of free...
James M. Rehg, Takeo Kanade
127
Voted
ICPR
2006
IEEE
16 years 4 months ago
Latent Layout Analysis for Discovering Objects in Images
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
David Liu, Datong Chen, Tsuhan Chen
103
Voted
BMVC
2002
15 years 5 months ago
Estimating Lighting Direction and Classifying Textures
The appearance of a rough surface is affected by the direction from which it is lit and texture classifiers should account for this. We propose a classifier that is robust to ligh...
Mike J. Chantler, Ged McGunnigle, A. Penirschke, M...