Guilherme N. DeSouza, Ph.D.

Affiliations: 
2002 Purdue University, West Lafayette, IN, United States 
Area:
Electronics and Electrical Engineering, Computer Science
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"Guilherme DeSouza"

Parents

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Avinash C. Kak grad student 2002 Purdue
 (A subsumptive, hierarchical, and distributed vision -based architecture for smart robotics.)
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Publications

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Shafiekhani A, Kadam S, Fritschi FB, et al. (2017) Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping. Sensors (Basel, Switzerland). 17
Smith N, Rivera L, Dietrich M, et al. (2015) Detection of Simulated Vocal Dysfunctions using Complex sEMG Patterns. Ieee Journal of Biomedical and Health Informatics
Farzan S, Desouza GN. (2014) A parallel evolutionary solution for the inverse kinematics of generic robotic manipulators Proceedings of the 2014 Ieee Congress On Evolutionary Computation, Cec 2014. 358-365
Lu G, Han K, Desouza GN, et al. (2014) A new algorithm for 3D registration and its application in self-monitoring and early detection of lymphedema Irbm. 35: 370-384
Farzan S, Desouza GN. (2013) From D-H to inverse kinematics: A fast numerical solution for general robotic manipulators using parallel processing Ieee International Conference On Intelligent Robots and Systems. 2507-2513
Dolan R, Desouza G. (2011) CNN-based language and interpreter for image processing on GPUs International Journal of Parallel, Emergent and Distributed Systems. 26: 207-222
Dong Y, Desouza GN. (2011) Adaptive learning of multi-subspace for foreground detection under illumination changes Computer Vision and Image Understanding. 115: 31-49
Han KM, Desouza GN. (2011) Geolocation of multiple targets from airborne video without terrain data Journal of Intelligent and Robotic Systems: Theory and Applications. 62: 159-183
Mittrapiyanuruk P, DeSouza GN. (2010) Tracking 3D pose of rigid objects using Inverse Compositional Active Appearance Models International Journal of Knowledge-Based and Intelligent Engineering Systems. 14: 229-239
Dong Y, Han T, DeSouza G. (2010) Illumination invariant foreground detection using multi-subspace learning International Journal of Knowledge-Based and Intelligent Engineering Systems. 14: 31-41
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