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Maha Sallam

dblp:75/6398 · DBLP profile ↗
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6ranked-venue papers
3as first author
0since 2021 · last 2001
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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
2 papers
Geometric modeling and processing · 90% Computer animation and physical simulation · 10%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › shape modeling › 3d object modeling
articulated object modeling
0.021993
Computing the Generalized Aspect Graph for Objects with Moving Parts · IEEE Trans. Pattern Anal. Mach. Intell. 1993
Computing the visual potential of an articulated assembly of parts · ICCV 1990
Geometric modeling and processing › shape representation › topological shape representation
aspect graph
0.011993
Computing the Generalized Aspect Graph for Objects with Moving Parts · IEEE Trans. Pattern Anal. Mach. Intell. 1993
Computer vision › 3D vision › 3d shape representation
aspect graph
0.011990
Computing the visual potential of an articulated assembly of parts · ICCV 1990
Computer vision › 3D vision › object modeling
geometric modeling
0.011990
Computing the visual potential of an articulated assembly of parts · ICCV 1990
Computer animation and physical simulation › character animation
articulated motion
0.011993
Computing the Generalized Aspect Graph for Objects with Moving Parts · IEEE Trans. Pattern Anal. Mach. Intell. 1993

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

aspect graph generalization · 0.0aspect graph computation · 0.0
YearPublicationVenuePosition
2001 Matching point features under small nonrigid motion
Senthil Kumar, Maha Sallam, Dmitry B. Goldgof
Pattern Recognit.2
1999 Registration and difference analysis of corresponding mammogram images
Maha Sallam, Kevin W. Bowyer
Medical Image Anal.1
1996 Model based estimation of point correspondences between boundaries undergoing nonrigid motion [digital mammography application]
abstract
Proposes a method for the estimation of point correspondences between boundaries undergoing nonrigid motion. The algorithm works in two stages. In the first stage, a global estimate of the nonrigid motion is obtained using hyperquadric models. The second stage uses this estimate to remove the global nonrigid motion (scale, shear, etc.) and then compute point correspondences between the two datasets assuming small deformations. The global part of the nonrigid motion (scale, shear, rotation and translation) is estimated by modeling the object with hyperquadrics and estimating the transformation between the hyperquadric parameters. Point correspondences are then estimated by using differential geometric properties during small deformations. Experimental results with real data are presented.
Senthil Kumar, Chandra Kambhamettu, Dmitry B. Goldgof, Maha Sallam
ICIP (1)4
1993 Computing the Generalized Aspect Graph for Objects with Moving Parts
abstract
Algorithms for computing the aspect graph representation are generalized to include a larger, more realistic domain of objects known as articulated assemblies those objects composed of rigid parts with articulated connections allowed between parts. The generalization suggests two slightly different representations: one that directly summarizes the possible general views of the object and another (hierarchical) form summarizing the possible general configurations and their respective views. Algorithms are outlined for computing both representations. The generalized aspect graphs of assemblies formed using translational connections are examined.>
Kevin W. Bowyer, Maha Sallam, David W. Eggert, John H. Stewman
IEEE Trans. Pattern Anal. Mach. Intell.2
1991 Generalizing the aspect graph concept to include articulated assemblies
Maha Sallam, Kevin W. Bowyer
Pattern Recognit. Lett.1
1990 Computing the visual potential of an articulated assembly of parts
abstract
Consideration is given to a generalization of the aspect graph concept which is applicable to objects which may have articulated connection between their (rigid) parts. This generalization is a major step forward in terms of applying the aspect graph concept to a larger and more realistic domain of objects. An algorithm for computing the generalized aspect graph is described, and an example is analyzed in detail.>
Maha Sallam, John H. Stewman, Kevin W. Bowyer
ICCV1