## Search

Now showing items 1-10 of 37

#### Sparse Correlation Kernel Analysis and Reconstruction

(1998-05-01)

This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis ...

#### Model-Based Matching of Line Drawings by Linear Combinations of Prototypes

(1996-01-18)

We describe a technique for finding pixelwise correspondences between two images by using models of objects of the same class to guide the search. The object models are 'learned' from example images (also called ...

#### Towards an Example-Based Image Compression Architecture for Video-Conferencing

(1994-06-01)

This paper consists of two major parts. First, we present the outline of a simple approach to very-low bandwidth video-conferencing system relying on an example-based hierarchical image compression scheme. In particular, ...

#### Green Theorems and Qualitative Properties of the Optical Flow

(1991-04-01)

How can one compute qualitative properties of the optical flow, such as expansion or rotation, in a way which is robust and invariant to the position of the focus of expansion or the center of rotation? We suggest a ...

#### 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 ...

#### 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- ...

#### 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 ...

#### Extensions of a Theory of Networks for Approximation and Learning: Dimensionality Reduction and Clustering

(1990-04-01)

The theory developed in Poggio and Girosi (1989) shows the equivalence between regularization and a class of three-layer networks that we call regularization networks or Hyper Basis Functions. These networks are also ...

#### A Novel Approach to Graphics

(1992-02-01)

sWe show that we can optimally represent the set of 2D images producedsby the point features of a rigid 3D model as two lines in twoshigh-dimensional spaces. We then decribe a working recognition systemsin which we represent ...

#### Bringing the Grandmother Back into the Picture: A Memory-Based View of Object Recognition

(1990-04-01)

We describe experiments with a versatile pictorial prototype based learning scheme for 3D object recognition. The GRBF scheme seems to be amenable to realization in biophysical hardware because the only kind of ...