Ralph R. Martin mainly investigates Artificial intelligence, Computer vision, Algorithm, Computer graphics and Segmentation. Ralph R. Martin studies Artificial intelligence, focusing on Feature extraction in particular. His Computer vision research is multidisciplinary, incorporating perspectives in Mesh generation, Distortion and Computer graphics.
His Algorithm research includes elements of Solid geometry, Mathematical optimization and Reverse engineering. The study incorporates disciplines such as Curve fitting and Boundary representation in addition to Reverse engineering. Ralph R. Martin has included themes like Simple and Robustness in his Segmentation study.
His primary areas of investigation include Artificial intelligence, Computer vision, Algorithm, Computer graphics and Computer graphics. Ralph R. Martin has researched Artificial intelligence in several fields, including Machine learning and Pattern recognition. His study in Algorithm is interdisciplinary in nature, drawing from both Computer Aided Design, Polygon mesh, Simple, Mathematical optimization and Reverse engineering.
His work in Computer Aided Design is not limited to one particular discipline; it also encompasses Engineering drawing. His studies deal with areas such as Boundary representation and Homogeneous space as well as Reverse engineering. His Boundary representation study combines topics from a wide range of disciplines, such as Set and Model building.
Ralph R. Martin mainly focuses on Artificial intelligence, Computer vision, Computer graphics, Algorithm and Benchmark. His research in Artificial intelligence intersects with topics in Machine learning and Pattern recognition. His Computer vision study frequently intersects with other fields, such as Computer graphics.
His studies in Computer graphics integrate themes in fields like Visual complexity, 3d model, Statistical physics and Avatar. His Algorithm study incorporates themes from CAD and Source code. His study in the fields of Image segmentation under the domain of Segmentation overlaps with other disciplines such as Traffic sign.
The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Statistical physics and Key. He frequently studies issues relating to Machine learning and Artificial intelligence. The Computer vision study combines topics in areas such as Sequence, Coherence, Polygon mesh and Skinning.
His Computer graphics study deals with Benchmark intersecting with Canonical form. In his research, Segmentation is intimately related to Graph, which falls under the overarching field of Salient. His research investigates the connection with Pyramid and areas like Algorithm which intersect with concerns in Distortion, Multidimensional scaling, Skeleton and Topological skeleton.
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Reverse engineering of geometric models—an introduction
Tamás Várady;Ralph Robert Martin;Jordan Cox.
Computer-aided Design (1997)
An overview of genetic algorithms: Part 1, fundamentals
David Beasley;David R. Bull;Ralph Robert Martin.
University Computing archive (1993)
A sequential niche technique for multimodal function optimization
David Beasley;David R. Bull;Ralph R. Martin.
Evolutionary Computation (1993)
Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid
G. K. L. Tam;Zhi-Quan Cheng;Yu-Kun Lai;F. C. Langbein.
IEEE Transactions on Visualization and Computer Graphics (2013)
Merging and splitting eigenspace models
P. Hall;D. Marshall;R. Martin.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2000)
Incremental Eigenanalysis for Classification
Peter M. Hall;A. David Marshall;Ralph R. Martin.
british machine vision conference (1998)
Fast and Effective Feature-Preserving Mesh Denoising
Xianfang Sun;P.L. Rosin;R.R. Martin;F.C. Langbein.
IEEE Transactions on Visualization and Computer Graphics (2007)
Algorithms for reverse engineering boundary representation models
Pál Benkő;Ralph R. Martin;Tamás Várady.
geometric modeling and processing (2001)
A Shape-Preserving Approach to Image Resizing
Guo-Xin Zhang;Ming-Ming Cheng;Shi-Min Hu;Ralph Robert Martin.
Computer Graphics Forum (2009)
Faithful Least-Squares Fitting of Spheres, Cylinders, Cones and Tori for Reliable Segmentation
Gabor Lukács;Gabor Lukács;Ralph Martin;Dave Marshall.
european conference on computer vision (1998)
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