Abstract: A moving object to be subject to 3-dimensional rendering is illuminated by a repeated sequence of a number N different two-dimensional structured light patterns. For each illumination, the illuminated object is captured by two spaced apart cameras, thereby creating a series of pairs of two-dimensional images. A set of N adjacent pairs of the two-dimensional images is used to form a single three-dimensional image frame. A moving window of N adjacent pairs of the two-dimensional images provides a train of such three-dimensional image frames. The object may furthered be illuminated by non-structured light whose captured image reflection may be used as an overlay over the three-dimensional rendered object.

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 three dimensional spatial imaging system (10) for generating a three dimensional model of a scanned space includes: a laser rangefinder (42) that obtains spatial data by measuring distances to a plurality of target points within the scanned space; a rotating mirror (46) placed in a path of a laser beam (43) emitted from the laser rangefinder (42), the mirror (46) deflecting the laser beam (43) to varying degrees as the mirror (46) is rotated; a digital camera (52) that obtains image data from photographs of the scanned space; a rotating head (30) on which the laser rangefinder (42), mirror (46) and camera (52) are all mounted, the head (30) rotating up to 360 degrees about a central axis of rotation (64) that is substantially normal to a plane in which the head (30) is rotated; and, a data processor that maps color information from the image data obtained by the camera (52) to the corresponding target points of the spatial data obtained by the laser rangefinder (42).

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 discrete linear space sampling method and system for generating digital 3D models comprising. A plurality of digital images are acquired of a subject from a respective plurality of image sensor positions near the image sensor location. Candidate 3d-spels are identified, each 3d-spel being an image pixel corresponding to a common point on said subject. Candidate 3d-spels are rejected based on a differential analysis of the candidate 3d-spels, the remaining 3d-spels forming a set of accepted 3d-spels. 3D coordinates are calculated for each accepted 3d-spel, thereby forming a point-cloud of the subject.

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.