Congratulations to our #ESR 4 from #MENELAOSNT, Dr. Alvaro Lopez Paredes, who successfully defended his #PhD #thesis on the topic of “effective very-wide-area ToF 3D imaging by means of adaptive Compressive Sensing” at the Universitรคt Siegen – Center for Sensor Systems (ZESS), Germany.
Date of Defense: 04 July 2025
Supervisor: Prof. Ender Joachim and Dr. Miguel Heredia Conde
Topic Summary: Understanding and reproducing our surrounding reality has long been a goal of science and technology. In recent decades, 3D imaging technologies have advanced significantly, driven by improved algorithms, better hardware, and increased computational power. Today, 3D imaging devices are widespread and serve crucial roles in security, automation, navigation, and simulation. Among these, Time-of-Flight (ToF) cameras are gaining attention due to their affordability, compact size, and low energy use. However, their practical application is limited by restricted angular range and environmental artifacts.
This thesis introduces a novel computational sensor that overcomes these limitations by combining controlled camera rotation with Compressive Sensing techniques. The approach decouples lateral resolution from pixel count and angular range from field of view, enabling millimeter-level depth resolution near real time. A new method for constructing optimal sensing functions is developed, along with a predictive error metric to improve accuracy. The thesis also proposes innovative reconstruction algorithms leveraging spatial correlations and super-resolution. A PB-ToF camera prototype is presented, offering a cost-effective alternative to 360ยฐ LIDAR systems for navigation and mapping.
Overall, the work provides a deep insight into applying Compressive #Sensing to real-world #3D #imaging with #ToF cameras.
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