Computer Vision News 12 Best Demo at ICCV by Doris Antensteiner Our innovation resulted from a Computer Vision research project aimed at retrieving accurate 3D shape at micro-scale for industrial inspection applications. Our system fuses light-field imaging with photometric stereo to simultaneously capture detailed 3D shape information, object texture, and photometric stereo characteristics. The integration of light-field imaging and photometric stereo offers a holistic approach to 3D shape reconstruction. Light-field imaging captures the angular information of the incoming light, allowing for a multi-view perspective of the object. Photometric stereo complements this by analyzing the way light interacts with the object's surface, providing crucial information about surface normals and reflectance properties. A notable feature of our system is its ability to perform3D reconstructions without the need for relying on traditional scanning or stacking processes, setting it apart from technologies like confocal scanning or focus stacking. The Inline Microscopic 3D Shape Reconstruction is the winner of the ICCV 2023 best demo award for its contribution to computer vision and industrial inspection. The demo was presented by scientists from the Austrian Institute of Technology (AIT) including Christian Kapeller, Lukas Traxler and Doris Antensteiner (in the photo with Ralph, from left to right). The demo showcased a novel optical microscopic inline 3D imaging system, which can be utilized by future industries for micro-scale object analysis. BEST OF ICCV 2023
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