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Time of flight cameras produce real-time range maps at a relatively low cost using continuous wave amplitude modulation and demodulation. However, they are geared to measure range (or phase) for a single reflected bounce of light and suffer from systematic errors due to multipath interference. We re-purpose the conventional time of flight device for a new(More)
Current Time-of-Flight approaches mainly incorporate an continuous wave intensity modulation approach. The phase reconstruction is performed using multiple phase images with different phase shifts which is equivalent to sampling the inherent correlation function at different locations. This active imaging approach delivers a very specific set of influences,(More)
The emergence of commercial time of flight (ToF) cameras for realtime depth images has motivated extensive study of exploitation of ToF information. In principle, a ToF camera is an active sensor that emits an amplitude modulated near-infrared (NIR) signal, which illuminates a given scene. The per-pixel phase difference of the modulation between reflected(More)
Amplitude-modulated continuous wave (AMCW) time-of-flight (ToF) range imaging cameras measure distance by illuminating the scene with amplitude-modulated light and measuring the phase difference between the transmitted and reflected modulation envelope. This method of optical range measurement suffers from errors caused by multiple propagation paths,(More)
Full-field range imaging cameras, which are an example of amplitude modulated continuous wave (AMCW) lidar, are subject to multiple error sources. In this paper we consider the possibility that a global jitter and/or drift occurs between the modulation signals to the active illumination source and the camera sensor. A model for jitter is presented and is(More)
Optical flow is the vector inverse problem of estimation motion though an image sequence. Geometric Algebra is an appropriate mathematical language for describing and solving vector problems. In this paper we apply Geometric Algebra to optical flow and pose a direct solution using a simple smoothness constraint. Implementational considerations are given and(More)
Image multiplexing is the technique of using combination patterns to measure multiple pixels with one sensor. Hyperspectral imaging is acquiring images with full spectra at each pixel. Using a single point spectrometer and light modulation we perform multiplexed hyperspectral imaging. We compare two forms of multiplexing, namely Hadamard imaging and(More)