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Moshe Shpitalni

dblp:94/1111 · DBLP profile ↗
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7ranked-venue papers
4as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 5 · 3 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
4 papers
Geometric modeling and processing · 100%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 10 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › 3d reconstruction
3d reconstruction from line drawings
0.021996
Identification of Faces in a 2D Line Drawing Projection of a Wireframe Object · IEEE Trans. Pattern Anal. Mach. Intell. 1996
Optimization-based reconstruction of a 3D object from a single freehand line drawing · Comput. Aided Des. 1996
Geometric modeling and processing
3d reconstruction
0.011996
Optimization-based reconstruction of a 3D object from a single freehand line drawing · Comput. Aided Des. 1996
Geometric modeling and processing › 3d reconstruction › 3d reconstruction from line drawings
face identification
0.011996
Identification of Faces in a 2D Line Drawing Projection of a Wireframe Object · IEEE Trans. Pattern Anal. Mach. Intell. 1996
Geometric modeling and processing › solid modeling
non-manifold topology
0.011996
Identification of Faces in a 2D Line Drawing Projection of a Wireframe Object · IEEE Trans. Pattern Anal. Mach. Intell. 1996
Geometric modeling and processing › solid modeling
boundary representation
0.011991
Accelerating the evaluation of volumetric modelers by manipulating CSG trees and DAGs · Comput. Aided Des. 1991
Geometric modeling and processing › solid modeling
constructive solid geometry
0.011991
Accelerating the evaluation of volumetric modelers by manipulating CSG trees and DAGs · Comput. Aided Des. 1991
Geometric modeling and processing
solid modeling
0.011991
Accelerating the evaluation of volumetric modelers by manipulating CSG trees and DAGs · Comput. Aided Des. 1991
Mathematical optimization
least squares
0.011987
A general algorithm for identification of rapidly time-varying systems · Proc. IEEE 1987
Mathematical optimization › least squares
recursive least squares
0.011987
A general algorithm for identification of rapidly time-varying systems · Proc. IEEE 1987
Mathematical optimization › control theory
system identification
0.011987
A general algorithm for identification of rapidly time-varying systems · Proc. IEEE 1987

Methods — techniques the papers use, named apart from their topics

optimization · 0.0face-edge-vertex relationship analysis · 0.0DAG manipulation · 0.0CSG tree manipulation · 0.0ordinary least squares · 0.0covariance matrix methods · 0.0
YearPublicationVenuePosition
1996 Optimization-based reconstruction of a 3D object from a single freehand line drawing
Moshe Shpitalni, Hod Lipson
Comput. Aided Des.1
1996 Identification of Faces in a 2D Line Drawing Projection of a Wireframe Object
abstract
An important key to reconstructing a three-dimensional object depicted by a two-dimensional line drawing projection is face identification. Identification of edge circuits in a 2D projection corresponding to actual faces of a 3D object becomes complex when the projected object is in wireframe representation. This representation is commonly encountered in drawings made during the conceptual design stage of mechanical parts. When nonmanifold objects are considered, the situation becomes even more complex. This paper discusses the principles underlying face identification and presents an algorithm capable of performing this identification. Face-edge-vertex relationships applicable to nonmanifold objects are also proposed. Examples from a working implementation are given.
Moshe Shpitalni, Hod Lipson
IEEE Trans. Pattern Anal. Mach. Intell.1
1994 Separation of disconnected machining regions on the basis of a CSG model
Moshe Shpitalni, Anath Fischer
Comput. Aided Des.1
1994 Realtime curve interpolators
Moshe Shpitalni, Yoram Koren, C. C. Lo
Comput. Aided Des.1
1991 Accelerating the evaluation of volumetric modelers by manipulating CSG trees and DAGs
Anath Fischer, Moshe Shpitalni
Comput. Aided Des.2
1988 Octree creation via C.S.G. definition
Gershon Elber, Moshe Shpitalni
Vis. Comput.2
1987 A general algorithm for identification of rapidly time-varying systems
abstract
A general algorithm for identification of deterministic rapidly time-varying parameters is introduced. The new algorithm is based upon applying a linear combination of the equations determined by the ordinary least-squares method. With this algorithm there is no need to modify the covariance matrix or to use forgetting factors in order to accurately follow the time-varying parameters.
G. Davidov, Moshe Shpitalni, A. Shavit, Yoram Koren
Proc. IEEE2