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» Compressive sensing with local geometric features
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COMPGEOM
2011
ACM
10 years 5 months ago
Compressive sensing with local geometric features
We propose a framework for compressive sensing of images with local geometric features. Specifically, let x ∈ RN be an N-pixel image, where each pixel p has value xp. The image...
Rishi Gupta, Piotr Indyk, Eric Price, Yaron Rachli...
ICRA
2002
IEEE
111views Robotics» more  ICRA 2002»
11 years 6 months ago
Feature-Based Multi-Hypothesis Localization and Tracking for Mobile Robots using Geometric Constraints
In this paper we present a new probabilistic feature-based approach to multi-hypothesis global localization and pose tracking. Hypotheses are generated using a constraintbased sea...
Kai Oliver Arras, José A. Castellanos, Rola...
3DIM
2003
IEEE
11 years 5 months ago
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
A statistical representation of three-dimensional shapes is introduced, based on a novel four-dimensional feature. The feature parameterizes the intrinsic geometrical relation of ...
Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger
AAAI
2007
11 years 3 months ago
Simple Robots with Minimal Sensing: From Local Visibility to Global Geometry
We consider problems of geometric exploration and selfdeployment for simple robots that can only sense the combinatorial (non-metric) features of their surroundings. Even with suc...
Subhash Suri, Elias Vicari, Peter Widmayer
ICASSP
2009
IEEE
11 years 8 months ago
Joint reconstruction of compressed multi-view images
This paper proposes a distributed representation algorithm for multi-view images that are jointly reconstructed at the decoder. Compressed versions of each image are first obtain...
Xu Chen, Pascal Frossard
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