Abstract: A system and method for illuminating an object in preparation for three-dimensional rendering includes a projection device configured to project at least three two-dimensional structured light patterns onto a 3-dimensional object. At least two cameras detect light reflected by the object in response to the at least three structured light patterns. Each structured light pattern varies in intensity in a first dimension and is constant in a second dimension. A single line along the first dimension of a given structured light pattern is created from a superposition of three or more component triangular waveforms. Each component triangular waveform has an amplitude, a periodicity (frequency), and a phase shift which is implemented as a pixel shift. Each component triangular waveform may be subject to one or more waveshaping operations prior to being summed with the remaining component triangular waveforms. The summed waveform itself may also be subject to waveshaping operations.

Abstract: A system and method for illuminating an object in preparation for three-dimensional rendering includes a projection device configured to project at least three two-dimensional structured light patterns onto a 3-dimensional object. At least two cameras detect light reflected by the object in response to the at least three structured light patterns. Each structured light pattern varies in intensity in a first dimension and is constant in a second dimension. A single line along the first dimension of a given structured light pattern is created from a superposition of three or more component triangular waveforms. Each component triangular waveform has an amplitude, a periodicity (frequency), and a phase shift which is implemented as a pixel shift. Each component triangular waveform may be subject to one or more waveshaping operations prior to being summed with the remaining component triangular waveforms. The summed waveform itself may also be subject to waveshaping operations.

Abstract: A method and system for estimating camera motion parameters and determining a filter to correct for camera motion errors. The estimating method and system includes obtaining an observation point set including a plurality of observed point vectors, computing a plurality of motion output vectors by performing a recursive least squares (RLS) process based on a plurality of motion parameter vectors, and comparing the plurality of motion output vectors to the plurality of observed point vectors. The filter determining method and system includes determining a plurality of desired motion point vectors, computing a plurality of estimated motion point vectors by means of an RLS algorithm, and computing the filter based on a difference between the plurality of estimated motion point vectors and the plurality of desired motion point vectors.

Abstract: A method and system for estimating camera motion parameters and determining a filter to correct for camera motion errors. The estimating method and system includes obtaining an observation point set including a plurality of observed point vectors, computing a plurality of motion output vectors by performing a recursive least squares (RLS) process based on a plurality of motion parameter vectors, and comparing the plurality of motion output vectors to the plurality of observed point vectors. The filter determining method and system includes determining a plurality of desired motion point vectors, computing a plurality of estimated motion point vectors by means of an RLS algorithm, and computing the filter based on a difference between the plurality of estimated motion point vectors and the plurality of desired motion point vectors.