Spatial Reasoning and Multi-Sensor Fusion: Proceedings of the 1987 WorkshopAvinash C. Kak, Su-shing Chen Morgan Kaufmann, 1987 - 441 lappuses Spatial Reasoning and Multi-Sensor Fusion |
Saturs
A Production System Environment for Integrating Knowledge with Vision Data | 1 |
An ObjectBased Representation for Multisensory Robotic Perception | 13 |
A Framework for Representing and Reasoning about ThreeDimensional Objects for Vision | 21 |
Spatial Reasoning Within a Blackboard Architecture | 34 |
Spatial Reasoning Using an ObjectOriented Spatial DBMS | 42 |
Static and Dynamic Logical Modelling of Mechanical Assembly Processes in a Simplified Geometrical Environment | 52 |
Planning Flight Paths In Dynamic Situations with Incomplete Knowledge | 62 |
HyperPyramids for Integration of Spatial Information | 72 |
Efficient Navigation through Dynamic Domains | 230 |
The Management of Spatial Information in a Mobile Robot | 240 |
3D Curve Matching | 250 |
An Approach to the Fusion of Multiple Shape from Texture Algorithms | 272 |
Locating Polyhedral Objects from Edge Point Data | 282 |
Mathematical Tools for Representing Uncertainty in Perception | 293 |
Sensor Models and MultiSensor Integration | 303 |
Searching for Information | 313 |
Spatial Reasoning in Rectangular Dissection | 82 |
Visual Memory Structure for a Mobile Robot | 92 |
An Object Identification Algorithm | 107 |
Recursive Decomposition of FreeSpace From Boundary Points | 118 |
Recovery of Superquadrics from depth information | 128 |
3D Scene Analysis via Fusion of Light Stripped Image and Intensity Image | 138 |
A ProcessGrammar for Representing Shape | 148 |
Figuring Out Most Plausible Interpretation from Spatial Constraints | 158 |
Issues in Shape Description and an Approach for Working with Sparse Data | 168 |
Resolving the Orientation and Identity of an Object from Range Data | 178 |
Eye Movements and Visual Cognition | 188 |
A Geometric Approach to Multisensor Fusion and Spatial Reasoning | 201 |
A Sensory input System for Autonomous Mobile Robots | 211 |
An Introduction and Analysis of a Straight Line Path Algorithm for use in Binary Domains | 220 |
Multisensor Scene Segmentation Using Learning Automata | 323 |
Shape Determination from Incomplete and Noisy Multisensor Imagery | 334 |
A Framework for MultiSensor Fusion in the Presence of Uncertainty | 345 |
MultiSensor Integrated intelligent Robot for Automated Assembly | 351 |
Dealing with Space in Natural Language Processing | 361 |
A Multidisciplinary | 371 |
Monitoring an Assembly Task by Perception Requests | 381 |
A Qualitative Approach to Robot Exploration and MapLearning | 390 |
Perceptual Organization Using Interestingness | 405 |
Terrain Analysis for Tactical Situation Assessment | 420 |
Free Space Modeling and Geometric Motion Planning under Location Uncertainty | 430 |
Citi izdevumi - Skatīt visu
Spatial Reasoning and Multi-Sensor Fusion: Proceedings of the 1987 Workshop Avinash C. Kak,Su-shing Chen Ierobežota priekšskatīšana - 1987 |
Bieži izmantoti vārdi un frāzes
algorithm analysis angle application approach Artificial Intelligence attributes boundary components Computer Vision constraints contour convex coordinate corresponding curvature curve database defined deictic described determine developed direction distance domain Durrant-Whyte dynamic edge interval environment error estimate example Figure frame free space fusion geometric graph hierarchical hypotheses IEEE image understanding inference inference rules integration interpretations left intersection intrinsic knowledge label landmarks light probe line segment matching method mobile robot multi-sensor multiple navigation node observed obstacles octree operations orientation parameters path planning perception pixels planar plane position primitive principal curvature problem properties PSEIKI quadtree reference object region relationships represented robotic vision scene sensor sensory unit shape description slot spatial reasoning strategy stripe structure superquadrics surface surface normal Tactile Feature techniques texels topological transformation uncertainty values vector vertical viewframes vision system visual Voronoi Diagram voxel world model