A paper written by the Camera Culture research group, originally presented at SIGGRAPH 2013, is the recipient of a Test of Time Award at SIGGRAPH 2024. This paper, titled "Femto-Photography: Capturing and Visualizing the Propagation of Light," helped change the capture of light transport, enabling slow-motion videos of phenomena like reflection and scattering.
The Femto-photography paper was a collaborative effort that allowed researchers to capture and visualize light in motion. One of the most interesting applications that this technique enabled was the possibility to image scenes hidden around corners, with applications in autonomous driving or medical imaging, for example. The paper co-authors include Andreas Velten, who leads research in computational optics at the University of Wisconsin-Madison; Adrián Jarabo, a rendering expert formerly at the University of Zaragoza and now at Meta; Belén Masiá, also at Zaragoza, specializing in computational imaging and human perception; Christopher Barsi, who develops cutting-edge imaging technologies; Nobel laureate Moungi Bawendi, who works on furthering quantum dot applications; Diego Gutiérrez, who leads the Graphics and Imaging Lab at the University of Zaragoza; and Ramesh Raskar, who continues to innovate in computational imaging and optics at the MIT Media Lab.
Since its introduction, the Femto-photography paper has garnered significant recognition in the field of computer graphics and imaging, evidenced by its extensive citation in subsequent research papers. By providing videos of light propagation with unprecedented resolution and quality, the work has inspired scientific and lay audiences. Similar videos have since been created with various means, including improved streak cameras, Indirect time of flight sensors, single photon avalanche diodes, and Radio Frequency transreceivers. The videos created by the technique capture even subtle scene features and create a rich data-set to be used for vision and graphics techniques that include concepts from signal processing, optimization, modern machine learning, and graphics. The research spans applications such as medical imaging, seeing through fog, imaging through occlusions and through translucent materials, new lidar technologies, and the imaging of ultrafast phenomena such as light filamentation.
Papers selected for the Test of Time Award have had a significant and lasting impact on computer graphics and interactive techniques over at least a decade. This is the second year of this annual award; for 2024, the papers presented at SIGGRAPH conferences from 2012 to 2014 were considered by the Test of Time Award committee, and the committee selected four winning papers.