A Time-Of-Flight Depth Sensor - System Description, Issues and Solutions
By S. Gokturk, H. Yalcin, C. Bamji. 2004 Conference on Computer Vision and Pattern Recognition Workshop, 2004
507 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Instrumentation, Media Technology
View Paper: https://www.semanticscholar.org/paper/87857212d8c0d2b435aa1154694de8a163d1e64a
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In Computer Vision and Pattern Recognition
In Instrumentation
In Media Technology
Citations in the corpus
- Fusion of time-of-flight depth and stereo for high accuracy depth maps (2008, background): “Therefore several super resolution methods [ 10 ] [26] are reported to enhance the resolution of depth images.”
- RGBD Salient Object Detection via Deep Fusion (2016, unknown): “Recently emerging sensing technologies, such as Time-of-Flight sensors and the Microsoft Kinect, provide excellent capability and flexibility in capturing RGBD images [5], [6].”
- CMOS image sensors (2005, unknown): “Another example is the Equinox sensor, an amplitude-modulated continuous wave LIDAR 3-D imager comprising a 64 × 64 array of pixels [48].”
- Review of Visual Saliency Detection With Comprehensive Information (2018, background): “, structured light [52], TOF (Time-of-Flight) [53], and binocular imaging [54].”
- A Survey of Augmented Reality (2015, methodology): “These sensors commonly utilise technologies such as structured light [Scharstein and Szeliski, 2003] or time-of-flight [Gokturk et al., 2004] to obtain information about the three dimensional positions of points in the scene.”
- Lock-in Time-of-Flight (ToF) Cameras: A Survey (2011, methodology): “range images with different exposure settings [7].”