SV( Vol No. )
* *Spatial Vision
SV(1)
* On the Extraction and Alignment of Image Edges
* Optical Flow of Planar Surfaces, The
* Three Processing Characteristics of Visual Texture Segmentation
SV(10)
* Machine Learning Paradigms for Pattern Recognition and Image Understanding
* Stereo Model Using LoG and Gabor Filters, A
SV(4)
* Shape Information from Shading: A Theory about Human Perception
SV(5)
* Edge Extraction by Active Defocusing
SV(6)
* Abstract Processes in Texture Discrimination
* Brightness Versus Apparent Contrast 1: Incremental and Decremental Disks With Varying Diameter
* Brightness Versus Apparent Contrast 2: Large-Field Asymmetry
* Brightness Versus Apparent Contrast 3: Blurred Disks and Concentric Cosine Gratings
* Modeling Spatial Vision at the Threshold Level
SV(7)
* Optic Flow and Depth Perception
* Texture Classification and Segmentation Algorithms in Man and Machine
SV(8)
* Quantification of Local Symmetry: Application to Texture Discrimination
* Segmenting Textured 3D Surfaces Using the Space/Frequency Representation
* Symmetric 3D Objects are an Easy Case for 2D Object Recognition
SV(9)
* Detection of visual symmetries
* Integrated Computational Model of Three-Dimensional Vision, An
* Motion Detectors and Motion Segregation
* Segmenting Textures Using Cells with Adaptive Receptive Fields
* Viewpoint Dependency in Object Representation and Recognition