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» Learning Object Representations Using Sequential Patterns
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EUROGRAPHICS
2010
Eurographics
14 years 4 months ago
Printed Patterns for Enhanced Shape Perception of Papercraft Models
Papercraft models can serve as inexpensive prototypes in shape design applications. However, in making the models some geometric detail is necessarily lost, and artificial crease...
Su Xue, Xuejin Chen, Julie Dorsey, Holly Rushmeier
IJCV
2000
136views more  IJCV 2000»
13 years 7 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
MMSEC
2006
ACM
195views Multimedia» more  MMSEC 2006»
14 years 1 months ago
Image annotation watermarking: nested object embedding using hypergraph model
In this paper, we introduce to the special domain of image annotation watermarking, based on embedding of hierarchical data related to objects into user-selected areas on an image...
Claus Vielhauer, Maik Schott
AAAI
2012
11 years 10 months ago
Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Jörg Stückler, Sven Behnke
ISCI
2000
100views more  ISCI 2000»
13 years 7 months ago
A neurobiological interpretation of semiotics: meaning, representation, and information
The branch of semiotics called semantics deals with the relation between meanings and representations, widely known as the symbol grounding problem. The other branches of semiotic...
Walter J. Freeman