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Michael Goesele: Image-base Geometry and Texture Reconstruction from Real-world Data

01.06.2015   14:30

Driven by several key advances such as novel image descriptors and efficient reconstruction techniques, 3D vision made significant progress in the last decade. Modern techniques are able to reconstruct detailed scene models from very general image data. In this talk, I will first give an overview of the robust 3D reconstruction pipeline developed in my lab. Since real-world input images typically depict objects at various scales, geometry reconstructed using multi-view stereo techniques is inherently multi-scale. I.e., individual depth samples represent a specific, finite surface area. I will therefore next discuss how to incorporate this property into surface merging techniques and describe our scale-aware floating scale surface reconstruction technique (FSSR) in detail. Photorealistic rendering of reconstructed geometry requires also high resolution information about the surface color and texture. Unfortunately, existing work is often restricted to small and/or laboratory-type datasets. I will therefore finally describe our recently proposed texturing method that allows us to texture real-world models with millions of triangles using hundrets of photographs.

Místo konání
Karlovo nám. 13, budova G, místnost 205
Kontaktní osoba
Ing. Hana Pokorná, hana.pokorna@fel.cvut.cz, 224 35 7669