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» Randomly Generated 3D Environments for Serious Games
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ICVS
2009
Springer
14 years 16 days 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...
ARCS
2005
Springer
13 years 11 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
COMCOM
2007
174views more  COMCOM 2007»
13 years 6 months ago
Directional geographical routing for real-time video communications in wireless sensor networks
In this paper, we address the problem of real-time video streaming over a bandwidth and energy constrained wireless sensor network (WSN) from a small number of dispersed video-sen...
Min Chen, Victor C. M. Leung, Shiwen Mao, Yong Yua...
AFRIGRAPH
2009
ACM
13 years 10 months ago
Using an implicit min/max KD-tree for doing efficient terrain line of sight calculations
The generation of accurate Line of Sight (LOS) visibility information consumes significant resources in large scale synthetic environments such as many-on-many serious games and b...
Bernardt Duvenhage
ASE
2004
137views more  ASE 2004»
13 years 5 months ago
Automatically Restructuring Programs for the Web
The construction of interactive server-side Web applications differs substantially from the construction of traditional interactive programs. In contrast, existing Web programming...
Jacob Matthews, Robert Bruce Findler, Paul T. Grau...