We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
An efficient compression scheme for color-quantized images based on progressive coding of color informationhas been developed. Rather than sorting color indexes into a linear list...
This paper presents a new approach to single-image superresolution, based on sparse signal representation. Research on image statistics suggests that image patches can be wellrepre...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma
A new spectral representation called the composite model is proposed. Its key point is to decompose all spectra into a smooth background and a collection of spikes. The smooth par...
An intermediate representation suitable for the 2-D recognition of the 3-D objects, from a single intensity image is proposed. Determination of the intermediate representation fro...