05159nam 22008055 450 99646610450331620200706053804.03-540-47913-910.1007/3-540-57132-9(CKB)1000000000234000(SSID)ssj0000323487(PQKBManifestationID)11247948(PQKBTitleCode)TC0000323487(PQKBWorkID)10312579(PQKB)10114475(DE-He213)978-3-540-47913-0(PPN)155178989(EXLCZ)99100000000023400020121227d1993 u| 0engurnn|008mamaatxtccrGeometric Reasoning for Perception and Action[electronic resource] Workshop. Grenoble, France, September 16-17, 1991. Selected Papers /edited by Christian Laugier1st ed. 1993.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,1993.1 online resource (VIII, 288 p.) Lecture Notes in Computer Science,0302-9743 ;708Bibliographic Level Mode of Issuance: Monograph3-540-57132-9 Shortest paths of bounded curvature in the plane -- Kinodynamic planning in a structured and time-varying workspace -- Motion planning for a non-holonomic mobile robot on 3-dimensional terrains -- Optimal motion planning of a mobile robot on a triangulated terrain model -- Landmark-based robot motion planning -- Using genetic algorithms for robot motion planning -- Fast mobile robots in unstructured environments -- A new approach to visual servoing in robotics -- Geometric solutions to some 3D vision problems -- Geometrical representation of shapes and objects for visual perception -- Perceptual grouping for scene interpretation in an active vision system -- Incremental free-space modelling from uncertain data by an autonomous mobile robot -- Matching 3-D smooth surfaces with their 2-D projections using 3-D distance maps -- A new physically based model for efficient tracking and analysis of deformations -- From splines and snakes to snake splines.Geometry is a powerful tool to solve a great number of problems in robotics and computer vision. Impressive results have been obtained in these fields in the last decade. It is a new challenge to solve problems of the actual world which require the ability to reason about uncertainty and complex motion constraints by combining geometric, kinematic, and dynamic characteristics. A necessary step is to develop appropriate geometric reasoning techniques with reasonable computational complexity. This volume is based on a workshop held in Grenoble, France,in September 1991. It contains selected contributions on several important areas in the field of robotics and computer vision. The four chapters cover the following areas: - motion planning with kinematic and dynamic constraints, - motion planning and control in the presence of uncertainty, - geometric problems related to visual perception, -numerical problems linked to the implementation of practical algorithms for visual perception.Lecture Notes in Computer Science,0302-9743 ;708RoboticsAutomationOptical data processingComputer graphicsArtificial intelligenceControl engineeringMechatronicsEngineering economicsEngineering economyRobotics and Automationhttps://scigraph.springernature.com/ontologies/product-market-codes/T19020Image Processing and Computer Visionhttps://scigraph.springernature.com/ontologies/product-market-codes/I22021Computer Graphicshttps://scigraph.springernature.com/ontologies/product-market-codes/I22013Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Control, Robotics, Mechatronicshttps://scigraph.springernature.com/ontologies/product-market-codes/T19000Engineering Economics, Organization, Logistics, Marketinghttps://scigraph.springernature.com/ontologies/product-market-codes/T22016Robotics.Automation.Optical data processing.Computer graphics.Artificial intelligence.Control engineering.Mechatronics.Engineering economics.Engineering economy.Robotics and Automation.Image Processing and Computer Vision.Computer Graphics.Artificial Intelligence.Control, Robotics, Mechatronics.Engineering Economics, Organization, Logistics, Marketing.006.3/7/01516Laugier Christianedthttp://id.loc.gov/vocabulary/relators/edtBOOK996466104503316Geometric reasoning for perception and action1381865UNISA