Object Representation in Computer Vision

Report on the 1995 workshop on 3-D object representations in computer vision.- Object recognition: The search for representation.- Appearance-based 3D object recognition.- Using quasi-invariants for automatic model building and object recognition: An overview.- Object representation for recognition-by-alignment.- Distinctive representations for the recognition of curved surfaces using outlines and markings.- The epipolar parametrization.- Using two-dimensional models to interact with the three-dimensional world.- Representations for recognizing complex curved 3D objects.- On representation and invariant recognition of complex objects based on patches and parts.- Algebraic geometry and object representation in computer vision.- Discrete surface signal processing: The polygon as the surface element.- Spline representations in 3-D vision.- Triangles as a primary representation.- Body-centered representation and perception.- The challenge of generic object recognition.- A physics-based framework for segmentation, shape and motion estimation.- Modal represenations.- Time representation of deformations: Combining vibration modes and Fourier analysis.- Physics in a fantasy world vs robust statistical estimation.- Towards a robust physics-based object recognition system.- Toward non-parametric digital shape representation and recovery.- Spherical representations: From EGI to SAI.- From physics-based representation to functional modeling of highly complex objects.