- Authors:
- Fabio Remondino,
- David Stoppa
Today the cost of solid-state two-dimensional imagers has dramatically dropped, introducing low cost systems on the market suitable for a variety of applications, including both industrial and consumer products. However, these systems can capture only a two-dimensional projection (2D), or intensity map, of the scene under observation, losing a variable of paramount importance, i.e., the arrival time of the impinging photons. Time-Of-Flight (TOF) Range-Imaging (TOF) is an emerging sensor technology able to deliver, at the same time, depth and intensity maps of the scene under observation. Featuring different sensor resolutions, RIM cameras serve a wide community with a lot of applications like monitoring, architecture, life sciences, robotics, etc. This book will bring together experts from the sensor and metrology side in order to collect the state-of-art researchers in these fields working with RIM cameras. All the aspects in the acquisition and processing chain will be addressed, from recent updates concerning the photo-detectors, to the analysis of the calibration techniques, giving also a perspective onto new applications domains.
Cited By
Baek S, Walsh N, Chugunov I, Shi Z and Heide F (2022). Centimeter-wave Free-space Neural Time-of-Flight Imaging, ACM Transactions on Graphics, 42:1, (1-18), Online publication date: 28-Feb-2023.- Deng Y, Xiao J and Zhou S (2022). ToF and Stereo Data Fusion Using Dynamic Search Range Stereo Matching, IEEE Transactions on Multimedia, 24, (2739-2751), Online publication date: 1-Jan-2022.
- Zabatani A, Surazhsky V, Sperling E, Moshe S, Menashe O, Silver D, Karni Z, Bronstein A, Bronstein M and Kimmel R (2020). Intel® RealSense™ SR300 Coded Light Depth Camera, IEEE Transactions on Pattern Analysis and Machine Intelligence, 42:10, (2333-2345), Online publication date: 1-Oct-2020.
- Horaud R, Hansard M, Evangelidis G and Ménier C (2016). An overview of depth cameras and range scanners based on time-of-flight technologies, Machine Vision and Applications, 27:7, (1005-1020), Online publication date: 1-Oct-2016.
- Eichhardt I, Jankó Z and Chetverikov D Novel methods for image-guided ToF depth upsampling 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (002073-002078)
- Evangelidis G, Hansard M and Horaud R (2015). Fusion of Range and Stereo Data for High-Resolution Scene-Modeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37:11, (2178-2192), Online publication date: 1-Nov-2015.
- Dal Mutto C, Zanuttigh P and Cortelazzo G (2015). Probabilistic ToF and Stereo Data Fusion Based on Mixed Pixels Measurement Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, 37:11, (2260-2272), Online publication date: 1-Nov-2015.
- Weinmann M and Klein R Advances in geometry and reflectance acquisition (course notes) SIGGRAPH Asia 2015 Courses, (1-71)
- Kim D, Izadi S, Dostal J, Rhemann C, Keskin C, Zach C, Shotton J, Large T, Bathiche S, Nießner M, Butler D, Fanello S and Pradeep V RetroDepth Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (1377-1386)
- Hosseininaveh A. A, Sargeant B, Erfani T, Robson S, Shortis M, Hess M and Boehm J (2014). Towards fully automatic reliable 3D acquisition, Robotics and Autonomous Systems, 62:8, (1197-1207), Online publication date: 1-Aug-2014.
- Fanello S, Keskin C, Izadi S, Kohli P, Kim D, Sweeney D, Criminisi A, Shotton J, Kang S and Paek T (2014). Learning to be a depth camera for close-range human capture and interaction, ACM Transactions on Graphics, 33:4, (1-11), Online publication date: 27-Jul-2014.
- Li L, Xiang S, Yang Y and Yu L Multi-camera interference cancellation of time-of-flight (TOF) cameras 2015 IEEE International Conference on Image Processing (ICIP), (556-560)
- Illade-Quinteiro J, Brea V, López P and Cabello D Time-of-flight chip in standard CMOS technology with in-pixel adaptive number of accumulations 2016 IEEE International Symposium on Circuits and Systems (ISCAS), (1910-1913)
Index Terms
- TOF Range-Imaging Cameras
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