P
Peter Bajcsy
Researcher at National Institute of Standards and Technology
Publications - 167
Citations - 2066
Peter Bajcsy is an academic researcher from National Institute of Standards and Technology. The author has contributed to research in topics: Image segmentation & Segmentation. The author has an hindex of 22, co-authored 159 publications receiving 1812 citations. Previous affiliations of Peter Bajcsy include University of Illinois at Urbana–Champaign & American Dental Association.
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Journal ArticleDOI
Methodology For Hyperspectral Band Selection
Peter Bajcsy,Peter Groves +1 more
TL;DR: In this article, the authors presented a new methodology for combining unsupervised and supervised methods under classification accuracy and computational requirement constraints that is designed to perform hyperspectral band selection and statistical modeling method selection.
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MIST: Accurate and Scalable Microscopy Image Stitching Tool with Stage Modeling and Error Minimization
Joe Chalfoun,Michael Majurski,Timothy Blattner,Kiran Bhadriraju,Kiran Bhadriraju,Walid Keyrouz,Peter Bajcsy,Mary Brady +7 more
TL;DR: MIST (Microscopy Image Stitching Tool) has a performance-oriented implementation utilizing multicore hybrid CPU/GPU computing resources, which can process terabytes of time-lapse multi-channel mosaics 15 to 100 times faster than existing tools.
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Hyperspectral image data mining for band selection in agricultural applications
TL;DR: The results showed that a combination of wavebands with different bandwidths will allow use of fewer than 20 bands used in this study to represent the information contained in the top 20 bands, thus reducing image data dimensionality and volume considerably.
Journal ArticleDOI
Gridline: automatic grid alignment DNA microarray scans
TL;DR: The proposed grid alignment algorithm is novel in the sense that it can detect irregularly row- and column-spaced spots in a 2-D array and has a built-in speed versus accuracy tradeoff mechanism to accommodate user's requirements on performance time and accuracy of the results.
Proceedings ArticleDOI
Recognition of arm gestures using multiple orientation sensors: gesture classification
J.-C. Lementec,Peter Bajcsy +1 more
TL;DR: A gesture recognition algorithm from Euler angles acquired using multiple orientation sensors is presented, part of a system for controlling unmanned aerial vehicles (UAVs) in the presence of manned aircrafts on an aircraft deck.