Unifying Perspectives in Computational and Robot Vision by Danica Kragic, Ville Kyrki

By Danica Kragic, Ville Kyrki

Assembled during this quantity is a suite of a few of the state of the art tools which are utilizing machine imaginative and prescient and computer studying suggestions as utilized in robot purposes. presently there's a hole among examine performed within the desktop imaginative and prescient and robotics groups. This quantity discusses contrasting viewpoints of desktop imaginative and prescient vs. robotics, and offers present and destiny demanding situations mentioned from a study viewpoint.

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Additional info for Unifying Perspectives in Computational and Robot Vision (Lecture Notes in Electrical Engineering)

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We are grateful for this support. References 1. Aloimonos J. and Weiss I. : Active Vision. International Journal of Computer Vision 1, 333–356 (1988) 2. : Toward an Unified Representation for Imitation of Human Motion on Humanoids. In: International Conference on Robotics and Automation. Rome, Italy (2007) 3. : Active Perception. IEEE Proceedings 76(8), 996–1006 (1988) 4. : Active Vision. MIT Press (1992) 5. : A Framework for Learning and Control in Intelligent Humanoid Robots. International Journal of Humanoid Robotics 2(3), 301–336 (2005) 6.

11) to decide if there is a person at that floor position. 11) is computed at a dense grid of ground points, it often has large values for a number of ground points around the position where the person actually is. 11). The first stage of the algorithm where the body parts are detected in the omnidirectional images is the most computationally expensive. Running the three Haar- 3 People Detection Using Multiple Sensors on a Mobile Robot 37 Fig. 7 Body part detection in omnicam images (top) and the heavily reduced set of detections when the floor plane constraint is used (below).

Physical interactions thus can make traditional perceptual tasks easier. Moreover, they make a new class of perceptual information accessible to a robotic agent. The promise of interactive perception [17] is supported by examples from the development of physical and mental skills in humans. During the acquisition of physical skills by infants, for example, physical interactions with the environment are necessary to bootstrap the cognitive process of learning the connection between 2 Extracting Planar Kinematic Models Using Interactive Perception 15 action and effect, the kinematics of one’s own body, and the properties and functions of objects in the environment.

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