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Robotic Vision Lab
Director: Dr. D. J. Lee

Department of Electrical and Computer Engineering
430 Clyde Building
Provo, Utah 84602
Tel: (801) 422-4119

Robotic Vision Lab was established in 2004 to research on visual computing for robotic applications. Currently, research conducted in the Robotic Vision Lab includes artificial intelligence, high-performance visual computing, robotic vision, and visual inspection automation. Click on the tabs above for details of research in these four areas.

Funded Projects:

21.   PI, “Machine Learning Methods Application for Analyzing Hydro-Acoustic Telemetry Data”, US Geological Survey, July 2018-Dec. 2019 (#G18AC00158)
20.   PI, “Demonstration of Ultra Low Latency Object Tracking for Multi-Focal Length Camera Arrays”, Flight Test Group, Defense Technologies Engineering Division, Lawrence Livermore National Laboratories, July 2018-Aug. 2019 (#B629134)
19.   PI, “Evolutionary Learning for Visual Inspection Automation”, Utah Technology Acceleration Grants, May 2017-Dec. 2018 (#172085)
18.   PI, “Automated Archerfish EO / Sonar Detection Techniques for Naval Mines”, DoD Navy, Subcontract from eCortex, Jan. 2017-Dec. 2019 (N00024-17-C-403005)
17.   PI, “Improve Competitiveness of Specialty Crop Production through a New Product Quality Verification Method”, US Department of Agriculture SBIR Phase II, Subcontract from Smart Vision Works International, LLC, Sep. 2015-Aug. 2018 (2015-33610-23786)
16.   PI, “Vision-Based Automobile Pixel Lighting Control”, On Semiconductor, Feb. 2015-Jun. 2015
15.   PI, “Improve Competitiveness of Specialty Crop Production through a New Product Quality Verification Method”, US Department of Agriculture SBIR Phase I, Subcontract from Smart Vision Works International, LLC, May 2014-Jan. 2015
14.   PI, “Enhanced Large Mammal Detection and Real-time Mapping through the use of FLIR and High Definition Camera and Improved Geo-mapping System”, Oil Sands Initiative Leadership, Feb. 2012
13.   PI, “Distributed Medical Image Processing Framework Using a Multi-processor Network Cluster”, National Institutes of Health (NIH), National Library of Medicine (NLM), Sep. 2009-2010
12.   PI, “Distributed Medical Image Processing Framework Using Cell Processors”, NIH, NLM, Sep. 2008-2009
11.   PI, “R&D in Query and Retrieval of Multiple Image Components with Spatial and Geometrical Constraints and API Development for Web-deployable CBIR”, NIH, NLM,, Sep. 2007-2008
10.   PI, “Automated EO/IR Detection Techniques For Floating Objects”, DoD Navy, Subcontract from eCortex, Nov. 2006-Sep. 2007
9.     PI, “R&D and API Development for Web-deployable CBIR Techniques with Support for Spatial Geometrical Relationships”, NIH, NLM, Sep. 2006-2007
8.     Co-PI, “FGPA Implementation of Real-time, High-Resolution, RGB Bayer Pattern Conversion for NTSC Video”, Procerus Technologies, Apr.-Sep. 2006
7.     PI, “Feature Indexing and Relevance Feedback Techniques for Improved CBIR of Spine X-ray Images and Medical Validation of Spine X-ray Shapes”, NIH, NLM, Sep. 2005- Feb. 2007
6.     PI, “Evaluation of Efficient Relevance Feedback Methods for Spine X-ray Image Retrieval”, NIH, NLM, Sep.  2004-2005
5.     PI, “An Automated Fish Migration Pattern Monitoring System Using Shape Descriptors for Pattern Recognition”, US Department of Agriculture, Subcontract from Agris-Schoenberger Vision Systems, Inc., Oct. 2004 – Feb. 2007
4.     Co-PI, “Bio-inspired Image Directed Control of Mars Flyers”, Jet Propulsion Lab and NASA Ames Research Center, Apr.-Dec. 2004
3.     PI, “Partial Shape Matching Techniques for Spine X-ray Images”, NIH, NLM, Sep. 2003-2004
2.     PI, “An Automated Fish Migration Pattern Monitoring System Using Shape Descriptors for Pattern Recognition”, US Department of Agriculture, Subcontract from Agris-Schoenberger Vision Systems, Inc., May 2003-Nov. 2003
1.     PI, “Fish Species Classification”, US Bureau of Reclamation, May-Oct. 2002