Add to ORKGCaption title. "October 26, 1988."Includes bibliographical references.This research is partially supported by the U.S. Army Research Office, contract DAAL03-86-K-0171 Research is partially supported by the National Science Foundation grant ECS-87-00903Jerry L. Prince and Alan S. Willsky
Objects are distinguished from each other amongst other things by their shapes. The thesis is concer...
Cover title.Includes bibliographical references.Supported in part by the National Science Foundation...
We investigate the problem of reconstructing the 3D shape of an object, given a set of 2D landmarks ...
Also issued as: CICS-P-16. Caption title.Bibliography: p. 32-33.Supported, in part, by a grant from ...
In this paper we present several algorithms for reconstructing 2D convex sets given support line mea...
Caption title.Bibliography: p. 5-6.Supported, in part, by a grant from the U.S. Army Research Office...
Cover title.Includes bibliographical references (p. 42-44).Research supported by the Department of t...
Bibliography: p. 56-58.Supported by the National Science Foundation grant ECS-8312921 Supported by t...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a...
The geometric problem of estimating an unknown compact convex set from evaluations of its support fu...
We describe and demonstrate a hierarchical reconstruction algorithm for use in noisy and limitedangl...
Caption title.Includes bibliographical references.Supported by the National Science Foundation. ECS-...
Traditional methods of nonparametric function estimation (splines, kernels and especially wavelet fi...
In robotic vision using laser-radar measurements, noisy data on convex sets with corners are derived...
Objects are distinguished from each other amongst other things by their shapes. The thesis is concer...
Cover title.Includes bibliographical references.Supported in part by the National Science Foundation...
We investigate the problem of reconstructing the 3D shape of an object, given a set of 2D landmarks ...
Also issued as: CICS-P-16. Caption title.Bibliography: p. 32-33.Supported, in part, by a grant from ...
In this paper we present several algorithms for reconstructing 2D convex sets given support line mea...
Caption title.Bibliography: p. 5-6.Supported, in part, by a grant from the U.S. Army Research Office...
Cover title.Includes bibliographical references (p. 42-44).Research supported by the Department of t...
Bibliography: p. 56-58.Supported by the National Science Foundation grant ECS-8312921 Supported by t...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
We investigate the problem of estimating the 3D shape of an object, given a set of 2D landmarks in a...
The geometric problem of estimating an unknown compact convex set from evaluations of its support fu...
We describe and demonstrate a hierarchical reconstruction algorithm for use in noisy and limitedangl...
Caption title.Includes bibliographical references.Supported by the National Science Foundation. ECS-...
Traditional methods of nonparametric function estimation (splines, kernels and especially wavelet fi...
In robotic vision using laser-radar measurements, noisy data on convex sets with corners are derived...
Objects are distinguished from each other amongst other things by their shapes. The thesis is concer...
Cover title.Includes bibliographical references.Supported in part by the National Science Foundation...
We investigate the problem of reconstructing the 3D shape of an object, given a set of 2D landmarks ...