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The Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems Charles V. Stewart Dept. of Computer Science Rensselaer Poly. Inst. CenSSIS Charles.

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Presentation on theme: "The Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems Charles V. Stewart Dept. of Computer Science Rensselaer Poly. Inst. CenSSIS Charles."— Presentation transcript:

1 The Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems Charles V. Stewart Dept. of Computer Science Rensselaer Poly. Inst. CenSSIS Charles V. Stewart Dept. of Computer Science Rensselaer Poly. Inst. CenSSIS DualAlign, LLC This work was supported by in part by the Gordon Center for Subsurface Sensing and Imaging Systems, under the Engineering Research Centers Program of the National Science Foundation (Award # EEC-9986821).

2 Answering the CenSSIS Challenge  Can one algorithm automatically register each of these different image pairs?

3 Dual-Bootstrap Algorithm and Software  Started with original algorithm for retina applications and CenSSIS toolkit effort  Led to understanding the need for  Multiple initial estimates  Robustness to changes in illumination, modality and physical structure  Generic features  Sophisticated decision criteria  IEEE T-PAMI paper to appear 2007  Executable posted October 2005  Windows, Mac, Linux, FreeBSD  1517 downloads as of April 15, 2007  Started with original algorithm for retina applications and CenSSIS toolkit effort  Led to understanding the need for  Multiple initial estimates  Robustness to changes in illumination, modality and physical structure  Generic features  Sophisticated decision criteria  IEEE T-PAMI paper to appear 2007  Executable posted October 2005  Windows, Mac, Linux, FreeBSD  1517 downloads as of April 15, 2007

4 Recent Algorithmic Developments  Better initialization  Multimodal pairs  Severe illumination changes  Underlying statistical theory and new core algorithm  Registration of combined LiDAR/RGB scans  Estimating the location of a camera with respect to a 3d model  Better initialization  Multimodal pairs  Severe illumination changes  Underlying statistical theory and new core algorithm  Registration of combined LiDAR/RGB scans  Estimating the location of a camera with respect to a 3d model CenSSIS funding: NGA and Lockheed-Martin

5 DualAlign, LLC  Fall 2006:  Inspiration based in part on reaction to posted executable  DualAlign formed  Spring 2007:  Development contract with EyeIC for first product, an ophthalmology application  CEO hired  Summer 2007:  Advanced commercial development  Formal business plan targeting other applications  Goal for late 2007  Funding for development of other applications  Fall 2006:  Inspiration based in part on reaction to posted executable  DualAlign formed  Spring 2007:  Development contract with EyeIC for first product, an ophthalmology application  CEO hired  Summer 2007:  Advanced commercial development  Formal business plan targeting other applications  Goal for late 2007  Funding for development of other applications


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