2000 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and application of computer vision, ranging from algorithms for binocular stereo, surface interpolation and object recognition to deployed systems for computer-assisted surgery.
His scientific interests lie mostly in Artificial intelligence, Computer vision, Object, Segmentation and Image processing. W. Eric L. Grimson has included themes like Data mining and Pattern recognition in his Artificial intelligence study. His study in Computer vision is interdisciplinary in nature, drawing from both Visualization and Surface.
In his study, which falls under the umbrella issue of Surface, Cognitive neuroscience of visual object recognition is strongly linked to Polyhedron. The various areas that W. Eric L. Grimson examines in his Object study include Simulation, State, Haptic interaction and Volume rendering. His Image processing research includes themes of Feature, Pixel, Matching, Algorithm and Stereopsis.
His primary scientific interests are in Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Scale-space segmentation. His Artificial intelligence study frequently draws connections between adjacent fields such as Machine learning. His studies deal with areas such as Neurosurgery and Atlas as well as Computer vision.
His work on Image guided neurosurgery as part of general Neurosurgery study is frequently linked to Registration system and Plan, therefore connecting diverse disciplines of science. His work in the fields of Segmentation, such as Active contour model, overlaps with other areas such as Expectation–maximization algorithm. His Algorithm study which covers Object that intersects with Search engine indexing and Polyhedron.
His primary areas of investigation include Artificial intelligence, Computer vision, Pattern recognition, Segmentation and Cluster analysis. His Machine learning research extends to the thematically linked field of Artificial intelligence. His study in Computer vision focuses on Structure tensor in particular.
His research integrates issues of Signed distance function and Silhouette in his study of Pattern recognition. His Cluster analysis study integrates concerns from other disciplines, such as Mixture model and Pattern recognition. His White matter research is multidisciplinary, incorporating perspectives in Neurosurgery and Visualization.
W. Eric L. Grimson spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Atlas and Affine transformation. As part of his studies on Artificial intelligence, he often connects relevant subjects like Theoretical computer science. His Computer vision study frequently links to other fields, such as Markov chain.
His studies in Pattern recognition integrate themes in fields like Logarithm, Representation, Statistical model and Interpolation. His Atlas research incorporates themes from Segmentation, Scale-space segmentation, Atlas, Anatomical knowledge and Fiber tract. W. Eric L. Grimson interconnects Fractional anisotropy and White matter in the investigation of issues within Affine transformation.
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Object Recognition by Computer: The Role of Geometric Constraints
W. Eric L. Grimson.
Computational Experiments with a Feature Based Stereo Algorithm
W. Eric L. Grimson.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1985)
Localizing Overlapping Parts by Searching the Interpretation Tree
W. Eric L. Grimson;Tomas Lozano-Perez.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1987)
An integrated visualization system for surgical planning and guidance using image fusion and an open MR.
D T Gering;A Nabavi;R Kikinis;N Hata.
Journal of Magnetic Resonance Imaging (2001)
An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging
David T. Gering;Arya Nabavi;Ron Kikinis;W. Eric L. Grimson.
medical image computing and computer assisted intervention (1999)
Simulating arthroscopic knee surgery using volumetric object representations, real-time volume rendering and haptic feedback
Sarah F. Frisken Gibson;Joe Samosky;Joe Samosky;Andrew Mor;Christina Fyock.
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery (1997)
System and method of registration of three-dimensional data sets
W. Eric L. Grimson;Steven J. White;Gil J. Ettinger;William M. Wells.
Method and apparatus for classifying and identifying images
Pamela R. Lipson;W. Eric L. Grimson;Pawan Sinha;Tomaso Poggio.
Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian Models
Xiaogang Wang;Keng Teck Ma;Gee-Wah Ng;W. Eric Grimson.
International Journal of Computer Vision (2011)
Multi-modal Volume Registration Using Joint Intensity Distributions
Michael E. Leventon;W. Eric L. Grimson.
medical image computing and computer-assisted intervention (1998)
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