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Recognition and Structure from One 2D Model View: Observations on Prototypes, Object Classes and Symmetries
(1992-02-01)
In this note we discuss how recognition can be achieved from a single 2D model view exploiting prior knowledge of an object's structure (e.g. symmetry). We prove that for any bilaterally symmetric 3D object one non- ...
Linear Object Classes and Image Synthesis from a Single Example Image
(1995-03-01)
The need to generate new views of a 3D object from a single real image arises in several fields, including graphics and object recognition. While the traditional approach relies on the use of 3D models, we have recently ...
Face Recognition from One Example View
(1995-09-01)
If we are provided a face database with only one example view per person, is it possible to recognize new views of them under a variety of different poses, especially views rotated in depth from the original example ...
Extensions of a Theory of Networks for Approximation and Learning: Outliers and Negative Examples
(1990-07-01)
Learning an input-output mapping from a set of examples can be regarded as synthesizing an approximation of a multi-dimensional function. From this point of view, this form of learning is closely related to regularization ...
Fast Perceptual Learning in Visual Hyperacuity
(1991-12-01)
In many different spatial discrimination tasks, such as in determining the sign of the offset in a vernier stimulus, the human visual system exhibits hyperacuity-level performance by evaluating spatial relations with the ...
View-Based Models of 3D Object Recognition and Class-Specific Invariances
(1994-04-01)
This paper describes the main features of a view-based model of object recognition. The model tries to capture general properties to be expected in a biological architecture for object recognition. The basic module is a ...
Template Matching: Matched Spatial Filters and Beyond
(1995-10-01)
Template matching by means of cross-correlation is common practice in pattern recognition. However, its sensitivity to deformations of the pattern and the broad and unsharp peaks it produces are significant drawbacks. This ...
Notes on PCA, Regularization, Sparsity and Support Vector Machines
(1998-05-01)
We derive a new representation for a function as a linear combination of local correlation kernels at optimal sparse locations and discuss its relation to PCA, regularization, sparsity principles and Support Vector Machines. ...
3D Object Recognition: Symmetry and Virtual Views
(1992-12-01)
Many 3D objects in the world around us are strongly constrained. For instance, not only cultural artifacts but also many natural objects are bilaterally symmetric. Thoretical arguments suggest and psychophysical ...
Synthesis of Visual Modules from Examples: Learning Hyperacuity
(1991-01-01)
Networks that solve specific visual tasks, such as the evaluation of spatial relations with hyperacuity precision, can be eastily synthesized from a small set of examples. This may have significant implications for the ...