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» Sherlock: automatically locating objects for humans
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CIKM
2005
Springer
14 years 1 months ago
ViPER: augmenting automatic information extraction with visual perceptions
In this paper we address the problem of unsupervised Web data extraction. We show that unsupervised Web data extraction becomes feasible when supposing pages that are made up of r...
Kai Simon, Georg Lausen
ACIVS
2008
Springer
13 years 9 months ago
A Fast and Fully Automatic Ear Recognition Approach Based on 3D Local Surface Features
Sensitivity of global features to pose, illumination and scale variations encouraged researchers to use local features for object representation and recognition. Availability of 3D...
Syed M. S. Islam, Rowan Davies, Ajmal S. Mian, Moh...
TMI
1998
91views more  TMI 1998»
13 years 7 months ago
A Vision-Based Technique for Objective Assessment of Burn Scars
—In this paper a method for the objective assessment of burn scars is proposed. The quantitative measures developed in this research provide an objective way to calculate elastic...
Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar, ...
EUC
2007
Springer
13 years 9 months ago
U-Interactive: A Middleware for Ubiquitous Fashionable Computer to Interact with the Ubiquitous Environment by Gestures
In this paper we present a system, called U-interactive, that provides spontaneous interactions between human and surrounding objects in heterogenous ubiquitous computing environme...
Gyudong Shim, SangKwon Moon, Yong Song, JaeSub Kim...
UAI
2004
13 years 8 months ago
Recovering Articulated Object Models from 3D Range Data
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...