KOÇ UNIVERSITY
GRADUATE SCHOOL OF SCIENCES & ENGINEERING
COMPUTER SCIENCE AND ENGINEERING
PhD THESIS DEFENSE BY EMEL KÜPÇÜ
Title: Reliable 3D Shape Matching on Challenging Point Clouds Captured by Commodity Depth Cameras
Speaker: Emel Küpçü
Time: September 13, 2018, 15:00
Place: ENG208
Koç University
Rumeli Feneri Yolu
Sariyer, Istanbul
Thesis Committee Members:
Prof. Yücel YEMEZ (Advisor, Koç University)
Prof. A. Murat TEKALP (Koç University)
Assoc. Prof. Engin ERZİN (Koç University)
Assoc. Prof. Yusuf SAHİLLİOĞLU (Middle East Technical University)
Asst. Prof. Helin DUTAĞACI (Eskişehir Osmangazi University)
Abstract:
We propose iterative isometric point correspondence methods that rely on diffusion distance to handle challenges posed by commodity depth cameras, which usually provide incomplete and noisy surface data exhibiting holes and gaps. We formulate the correspondence problem as finding an optimal partial mapping between two given point sets, that minimizes deviation from isometry. We start with an initial rough correspondence between keypoints, obtained via any point matching technique. This initial correspondence is then pruned and updated by iterating a perfect matching algorithm until convergence to find as many reliable correspondences as possible. The resulting set of sparse but reliable correspondences then serves as a base matching from which a dense correspondence set is estimated. For shapes with intrinsic symmetries such as human models, we additionally provide a global intrinsic symmetry technique to increase the resiliency of our correspondence methods against symmetric flips. The experiments show that our methods provide state of the art performance over depth frames exhibiting occlusions, large deformations and topological noise.