Results 1 - 10 of 9,618

LEDA: A Platform for Combinatorial and Geometric Computing

by Kurt Mehlhorn, Stefan Näher, Christian Uhrig , 1999
"... We give an overview of the LEDA platform for combinatorial and geometric computing and an account of its development. We discuss our motivation for building LEDA and to what extent we have reached our goals. We also discuss some recent theoretical developments. This paper contains no new technical ..."
Abstract - Cited by 711 (46 self) - Add to MetaCart
We give an overview of the LEDA platform for combinatorial and geometric computing and an account of its development. We discuss our motivation for building LEDA and to what extent we have reached our goals. We also discuss some recent theoretical developments. This paper contains no new

Layered Geometric Information System

by Pierre Smars, Koen Van Balen, Kris Nuyts - Proceedings of the XVIII. International Symposium CIPA 2001 , 2001
"... Virterf is a software combining recent developments in computer vision and reverse engineering targeted for professionals working in the field of architectural conservation. The first part of the software aims at building relatively automatically a 3D model. In this article, focus is given to the se ..."
Abstract - Cited by 4 (2 self) - Add to MetaCart
to the second part, offering tools to qualify and query it. Information can be added, organised in themes or linked to the model. The resulting database with the software’s visualisation capacities facilitates comparison, synthesis and decision. Some reference concepts are first presented, the functionalities

Specifying the Representation of Non-geometric Information

by Kaveh Bazargan, Gilles Falquet - in 3D Virtual Environments’ Proceedings of the 13th International Conference on Human-Computer Interaction , 2009
"... Abstract. In 3D virtual environments (3DVE), we need to know what an object looks like (i.e. geometric information) and what the object is, what are its properties and characteristics and how it relates to other objects (i.e. non-geometric information). Several interactive presentation techniques ha ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract. In 3D virtual environments (3DVE), we need to know what an object looks like (i.e. geometric information) and what the object is, what are its properties and characteristics and how it relates to other objects (i.e. non-geometric information). Several interactive presentation techniques

Integrating Textural and Geometric Information for

by An Automatic Bridge, Nicolas Loménie
"... We present some results on systems for automatically detecting bridges in high-resolution satellite images. ..."
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We present some results on systems for automatically detecting bridges in high-resolution satellite images.

Visual categorization with bags of keypoints

by Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cédric Bray - In Workshop on Statistical Learning in Computer Vision, ECCV , 2004
"... Abstract. We present a novel method for generic visual categorization: the problem of identifying the object content of natural images while generalizing across variations inherent to the object class. This bag of keypoints method is based on vector quantization of affine invariant descriptors of im ..."
Abstract - Cited by 1005 (14 self) - Add to MetaCart
categories. These results clearly demonstrate that the method is robust to background clutter and produces good categorization accuracy even without exploiting geometric information. 1.

Multimodality Image Registration by Maximization of Mutual Information

by Frederik Maes, André Collignon, Dirk Vandermeulen, Guy Marchal, Paul Suetens - IEEE TRANSACTIONS ON MEDICAL IMAGING , 1997
"... A new approach to the problem of multimodality medical image registration is proposed, using a basic concept from information theory, mutual information (MI), or relative entropy, as a new matching criterion. The method presented in this paper applies MI to measure the statistical dependence or in ..."
Abstract - Cited by 791 (10 self) - Add to MetaCart
or information redundancy between the image intensities of corresponding voxels in both images, which is assumed to be maximal if the images are geometrically aligned. Maximization of MI is a very general and powerful criterion, because no assumptions are made regarding the nature of this dependence

Propagation and Fusion of Uncertain Geometric Information ∗

by Assumpta Sabater, Federico Thomas
"... Propagation and fusion of geometric information is of great significance in multisensorial systems, mainly in robotics applications, where multiple sensors or mobile sensor systems that change their perspective of the environment capture uncertain sparse, and sometimes partial, geometric data. In a ..."
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Propagation and fusion of geometric information is of great significance in multisensorial systems, mainly in robotics applications, where multiple sensors or mobile sensor systems that change their perspective of the environment capture uncertain sparse, and sometimes partial, geometric data. In a

Topology Control with Limited Geometric Information

by Kevin Lillis, Sriram V. Pemmaraju - IN: PROC. OF THE 9 TH INTERNATIONAL CONFERENCE ON PRINCIPLES OF DISTRIBUTED SYSTEMS (OPODIS , 2005
"... Topology control is the problem of selecting neighbors for each node in a wireless network, so that the resulting network has a number of useful properties. More precisely, a topology control protocol P takes as input a network G and aims to construct a spanning subgraph GP, that is sparse, “energ ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
, “energy minimizing ” and has sufficient connectivity so as to guarantee multiple short paths between pairs of nodes in G. Currently, topology control protocols assume that nodes in G reside in some Euclidean (usually, 2-dimensional) space and rely on geometric information such as node locations

The Lumigraph

by Steven J. Gortler, Radek Grzeszczuk, Richard Szeliski, Michael F. Cohen - IN PROCEEDINGS OF SIGGRAPH 96 , 1996
"... This paper discusses a new method for capturing the complete appearanceof both synthetic and real world objects and scenes, representing this information, and then using this representation to render images of the object from new camera positions. Unlike the shape capture process traditionally used ..."
Abstract - Cited by 1025 (39 self) - Add to MetaCart
This paper discusses a new method for capturing the complete appearanceof both synthetic and real world objects and scenes, representing this information, and then using this representation to render images of the object from new camera positions. Unlike the shape capture process traditionally used

No Free Lunch Theorems for Optimization

by David H. Wolpert, et al. , 1997
"... A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving. A number of “no free lunch ” (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performan ..."
Abstract - Cited by 961 (10 self) - Add to MetaCart
by performance over another class. These theorems result in a geometric interpretation of what it means for an algorithm to be well suited to an optimization problem. Applications of the NFL theorems to information-theoretic aspects of optimization and benchmark measures of performance are also presented. Other
Results 1 - 10 of 9,618