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» Randomly Generated 3D Environments for Serious Games
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ICVS
2009
Springer
15 years 4 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...
ARCS
2005
Springer
15 years 3 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»
14 years 9 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
15 years 1 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»
14 years 9 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...