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» From Images to Shape Models for Object Detection
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ICPR
2006
IEEE
16 years 7 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
MICCAI
1999
Springer
15 years 11 months ago
A Robust 3-D Reconstruction System for Human Jaw Modeling
Abstract. This paper presents a model-based vision system for dentistry that will assist in diagnosis, treatment planning and surgical simulation. Dentistry requires the accurate 3...
Sameh M. Yamany, Aly A. Farag, David Tasman, Allan...
SIBGRAPI
1999
IEEE
15 years 11 months ago
Piecewise Trilinear Deformation of Tomographic Models
: In this work we introduce an iterative method that deforms brain models built from tomographic images. The deformation is used for normalization purposes: individual models are d...
Sílvio de Barros Melo
ICVS
2009
Springer
16 years 1 months ago
Learning Objects and Grasp Affordances through Autonomous Exploration
Abstract. We describe a system for autonomous learning of visual object representations and their grasp affordances on a robot-vision system. It segments objects by grasping and mo...
Dirk Kraft, Renaud Detry, Nicolas Pugeault, Emre B...
ICASSP
2009
IEEE
16 years 1 months ago
Wildfire detection using LMS based active learning
A computer vision based algorithm for wildfire detection is developed. The main detection algorithm is composed of four sub-algorithms detecting (i) slow moving objects, (ii) gra...
B. Ugur Töreyin, A. Enis Çetin