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4D Shape and Strain Mapping of Biological Specimens
Author(s) -
Baron William S.,
Baron Sandra F.
Publication year - 2006
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.20.4.a443-b
Subject(s) - photogrammetry , point cloud , computer science , computer vision , instrumentation (computer programming) , artificial intelligence , software , orientation (vector space) , computer graphics (images) , frame (networking) , bundle adjustment , sample (material) , mathematics , geometry , telecommunications , chemistry , chromatography , programming language , operating system
3D shape maps of biological specimens, captured under both static and dynamic conditions, using new computer vision based instrumentation, demonstrate radical efficiency and accuracy gains compared to close range stereo photogrammetry. This innovative shape and strain mapping technology automates shape data extraction procedures and provides precise, high‐density, point cloud data. The biological sample video topographer, BioSpecVT™, projects a calibrated structured light pattern onto the specimen that supports automated computer vision feature extraction software for precisely and rapidly transforming images captured at video frame rates into three dimensional point cloud data. Mapping transforms are based on in situ calibration data, not mathematical models. Tested performance properties of a turnkey, customizable, BioSpecVT™ (ver. 1.02) prototype:Bioprosthetic heart valve mapping demonstrates coverage under dynamic conditions. Maps of the eye and a ceramic substrate demonstrate versatility. Operating principles and theory for simplified strain mapping are discussed. Supported in part by National Institutes of Health SBIR grants.