摘要: Partial Contents: Vision and visual exploration for the Stanford Mobile robot; AuRA -- An architecture for vision-based robot navigation; Guiding an autonomous land vehicle using knowledge-based landmark recognition; The CMU navig... 展开 Partial Contents: Vision and visual exploration for the Stanford Mobile robot; AuRA -- An architecture for vision-based robot navigation; Guiding an autonomous land vehicle using knowledge-based landmark recognition; The CMU navigational architecture; Qualitative navigation; Interpreting terrain using hierarchical symbolic grouping for multi-spectral images; Design of a prototype interactive cartographic display and analysis environment; Image understanding architecture; Constructs for cooperative image understanding environments; Interpreting aerial photographs by segmentation and search; Initial hypothesis formation in image understanding using an automatically generated knowledge base; Goal-directed control of low-level processes for image interpretation; Active vision; An integrated system that unifies multiple shape from texture algorithms; DRIVE - Dynamic Reasoning from Integrated Visual Evidence; What is a 'Degenerate' view; Role and use of color in a general vision system; Using a color reflection model to separate highlights from object color; Recognizing unexpected objects -- A proposed approach; Parallel algorithms for computer vision on the connection machine; Solving the depth interpolation problem on a fine grained, mesh- and tree-connected SIMD machine; Survey of parallel computers; Evidence combination using likelihood generators; Multi-modal segmentation using Markov random fields; Minimization of the quantization error in camera calibration; Uncertainty analysis of image measurements; Results of motion estimation with more than two frames; Tracing finite motions without correspondence. (EDC) 收起