EE Seminar: Full 3D Plant Reconstruction via Intrusive Acquisition

~~Speaker: Alexei Gaissinski,
M.Sc. student under the supervision of Prof. Andrei Sharf and Prof. Shai Avidan

Wednesday, May 18, 2016 at 15:00
Room 011, Kitot Bldg., Faculty of Engineering

Full 3D Plant Reconstruction via Intrusive Acquisition
Abstract
Digitally capturing vegetation using off-the-shelf scanners is a challenging problem. Plants typically consist of large self-occlusions and thin structures which cannot be properly scanned. Furthermore, plants are essentially dynamic, rendering small deformations in time, which yield additional difficulties in the scanning process.
In this thesis we present a novel technique for acquiring and modeling of plants and foliage. At the core of our method is an intrusive acquisition approach, which disassembles the plant into disjoint parts that can be accurately scanned and reconstructed offline. We use the reconstructed part meshes as 3D proxies for the reconstruction of the complete plant and devise a global-to-local non-rigid registration technique that preserves specific plant characteristics.
Our method is tested on plants of various styles, appearances, and characteristics. Results show successful reconstructions with high accuracy with respect to the acquired data.