Time-of-Flight Cameras
Principles, Methods and Applications
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Article
An overview of depth cameras and range scanners based on time-of-flight technologies
Time-of-flight (TOF) cameras are sensors that can measure the depths of scene points, by illuminating the scene with a controlled laser or LED source and then analyzing the reflected light. In this paper, we w...
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Chapter and Conference Paper
Pop-up Modelling of Hazy Scenes
This paper describes the construction of a layered scene-model, based on a single hazy image of an outdoor scene. A depth map and radiance image are estimated by standard dehazing methods. The radiance image i...
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Book
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Chapter
Disambiguation of Time-of-Flight Data
The maximum range of a time-of-flight camera is limited by the periodicity of the measured signal. Beyond a certain range, which is determined by the signal frequency, the measurements are confounded by phase ...
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Chapter
Alignment of Time-of-Flight and Stereoscopic Data
An approximately Euclidean representation of the visible scene can be obtained directly from a time-of-flight camera. An uncalibrated binocular system, in contrast, gives only a projective reconstruction of th...
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Chapter
Characterization of Time-of-Flight Data
This chapter introduces the principles and difficulties of time-of-flight depth measurement. The depth images that are produced by time-of-flight cameras suffer from characteristic problems, which are divided ...
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Article
Real-time visuomotor update of an active binocular head
In order for a binocular head to perform optimal 3D tracking, it should be able to verge its cameras actively, while maintaining geometric calibration. In this work we introduce a calibration update procedure,...
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Chapter
Calibration of Time-of-Flight Cameras
This chapter describes the metric calibration of a time-of-flight camera including the internal parameters, and lens distortion. Once the camera has been calibrated, the 2D depth image can be transformed into ...
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Chapter
A Mixed Time-of-Flight and Stereoscopic Camera System
Several methods that combine range and color data have been investigated and successfully used in various applications. Most of these systems suffer from the problems of noise in the range data and resolution ...
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Chapter and Conference Paper
Audio-Visual Clustering for 3D Speaker Localization
We address the issue of localizing individuals in a scene that contains several people engaged in a multiple-speaker conversation. We use a human-like configuration of sensors (binaural and binocular) to gathe...
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Chapter and Conference Paper
Patterns of Binocular Disparity for a Fixating Observer
Binocular information about the structure of a scene is contained in the relative positions of corresponding points in the two views. If the eyes rotate, in order to fixate a different target, then the dispari...
