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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)
Time-of-Flight (ToF) range cameras measure the depth from the camera to the objects in the field of view. This is achieved by illuminating the scene with amplitude modulated light and measuring the phase shift in the modulation envelope between the out going and reflected light. ToF cameras suffer from measurement errors when multiple propagation paths(More)
The noise reduction methods that arise from imposing a total variation constraint are highly nonlinear and the algorithms to find solutions to total variation minimisation problems are iterative. We pose two approximations to the total variation functionals, one in the image impulse domain and the other in the Fourier domain. Both approximations lead to(More)
We couple custom binary sequences with sparsity based approaches to address the multi-path problem in time of flight imaging. In particular, we utilize maximum length m-sequences that allow us to produce non band-limited correlation functions. Coupled with a tailored sparse deconvolution approach, we are able to resolve the constituent phases and amplitudes(More)
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