Miguel Heredia Conde aims at finding novel ways to fit the valuable mathematical results of the Compressive Sensing (CS) theory to the specific case of the Photonic Mixer Device (PMD).To this end, methods are presented that take profit of the sparsity of the signals gathered by PMD sensors. In his research, the author reveals that CS enables outstanding tradeoffs between sensing effort and depth error reduction or resolution enhancement.Contents

• Phase-Shift-Based Time-of-Flight Imaging Systems
• Fundamentals of Compressive Sensing
• High Resolution Characterization of PMD Pixels
• Compressive Sensing in Spatial and Time-Frequency Domains
• CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device

Target Groups

Autorentext
Dr. Miguel Heredia Conde studied industrial engineering with specialization in automation and electronics at the University of Vigo, Spain. He defended his PhD thesis in engineering at the University of Siegen, Faculty of Science and Technology, Germany. There, he is currently head of the research group on compressive sensing for time-of-flight sensors at the Center for Sensor Systems (ZESS).

Inhalt
Phase-Shift-Based Time-of-Flight Imaging Systems.- Fundamentals of Compressive Sensing.- High Resolution Characterization of PMD Pixels.- Compressive Sensing in Spatial and Time-Frequency Domains.- CS-PMD: A Compressive Sensing ToF Camera based on the Photonic Mixer Device.