Computer Vision: Systems, Theory and Applications
This book contains a selection of papers which were presented at the Vision Interface '92 Conference. It also includes several invited articles from prominent researchers in the field, suggesting future directions in Computer Vision.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Attitudes Barriers Counseling
Architectures for Computer Vision
Realtime Pyramidal Vision
A TwoStep Robust Approach to Motion Estimation
ThreeDimensional Representation and Modeling
Building Octree Models of Small Objects
Three Dimensional Border Identification
Other editions - View all
algorithm analysis applications approach Artificial Intelligence assumptions border voxels boundary boundary representation chrominance classifier colour computer vision constraints convergence convolution corresponding curvature curve defined discrete discrete space dynamic edge detection entropy equation error extract feature frequency function Gaussian filter GOFAIR gray level hierarchical Hough transform hybrid pyramid IEEE Trans implementation input interpolation iteration jump edge line segments line-likeness linear Machine matching matrix merging merging algorithm method motion estimation motion field node noise obtained octree operator orientation parameters partitioning pattern perception pixel position problem proposed quadtree quantization range images recognition represent representation robot rotation samples scene scheme second derivative sensor sequence shape solution step edge subpixel edge surface surface normal tangent field technique texture image transputer tree V-pattern vectors vertex vertices vision system visual voxels word Zernike moments zero-crossings