Accession Number:

ADA592603

Title:

Contract W911NF-12-1-0529 (University of California - Berkeley)

Descriptive Note:

Final rept. 12 Sep 2012-11 Jun 2013

Corporate Author:

CALIFORNIA UNIV BERKELEY

Personal Author(s):

Report Date:

2013-08-13

Pagination or Media Count:

10.0

Abstract:

In this STIR project, we have achieved three major contributions in the application of sparse and low-rank representation in geometric 3D modeling of urban structures and high-dimensional pattern recognition at large. First, we proposed a novel algorithm to effectively detect geometry-rich low-rank image patterns in natural images. Second, we extended a sparse representation-based classification framework to the small-sample-set scenario. Finally, our research on accelerating the speed of sparse optimization solvers was accepted for publication.

Subject Categories:

  • Cybernetics
  • Optics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE