3D Face Reconstruction using Structured Light on a Hand-held Device

Aug 25, 2013·
Martin Roa Villescas
Martin Roa Villescas
,
Frank van heesch
,
Gerard de haan
· 0 min read
Abstract
A 3D hand-held scanner using the structured lighting technique has been developed by the Smart Sensors & Analysis (SSA) research group at Philips Research Eindhoven. This thesis presents an embedded implementation of such a scanner. A translation of the original MATLAB implementation into the C programming language resulted in a speedup of approximately 15× when executed on a desktop computer. However, running the new implementation on an embedded platform increased the execution time from 0.5 seconds to more than 14 seconds. A wide range of optimizations was proposed and applied to improve the performance of the application. As a result, a final execution time of 5.1 seconds was achieved. In addition, a visualization module was developed to display the reconstructed 3D models using the projector integrated into the embedded device.
Type
Publication
Eindhoven University of Technology
Martin Roa Villescas
Authors
Teacher & Researcher
Martin Roa Villescas holds a BSc in Electronic Engineering from the National University of Colombia and an MSc in Embedded Systems from Eindhoven University of Technology (TU/e). He worked at Philips Research as an embedded software designer from 2013 to 2018. He later returned to TU/e for his doctoral research in model-based machine learning, carried out within the PhD-Teaching Assistant trajectory combining research and teaching. Since 2023, he has been working at Fontys University of Applied Sciences in the Netherlands, where he teaches in the Information and Communication Technology program and conducts research in robotics and smart industry.