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GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 8 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
PCM
2005
Springer
209views Multimedia» more  PCM 2005»
15 years 7 months ago
Virtual Object Placement in Video for Augmented Reality
This article describes a method to insert virtual objects into a real video stream based on feature tracking and camera pose estimation from a set of single-camera video frames. To...
Jong Seung Park, Mee Young Sung, Sung-Ryul Noh
SCALESPACE
2001
Springer
15 years 6 months ago
A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses
This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...
Ivan Laptev, Tony Lindeberg
ISCAPDCS
2004
15 years 3 months ago
Pushmepullyou: The Reality of Interaction with Shared Objects in Networked Walk-in Displays
This paper investigates the reality of shared manipulation of objects between users in distributed walkin displays and presents solutions to address the effects of constraints of ...
David J. Roberts, Oliver Otto, Robin Wolff
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
15 years 2 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang