A 3D image acquisition apparatus comprises a pattern projection section which projects a pattern on an object to be measured, an imaging section which is disposed at a distance from the pattern projection section and images the object on which the pattern has been projected, and a depth calculation section which detects the projection pattern projected on the object on the basis of an image acquired by the imaging section, collates the detected pattern and the projected pattern, and calculates a depth of respective parts of the object on the basis of the correspondency of the collation. The projected pattern is stripes/matrix formed by alternately arranging areas with local maximum/minimum luminance values. Thus, stripes/matrix boundaries can be exactly extracted from the pattern projection image, and correct decoding is performed from the encoded projection image even where the object is not a white-based color one or a low-saturation color one.
There is disclosed a depth information generation apparatus capable of acquiring high-precision depth information within a short computation time. A depth information generation apparatus of this invention generates depth information at the capture position of a reference image from the reference image, and at least one peripheral image that forms a stereo image pair with the reference image, and has a high-speed stereo processor (30) for generating depth information at high speed from the reference image and peripheral image, and a high-precision stereo processor (40) for generating high-precision depth information. A motion detector (20) detects a motion in an image, and instructs an image composition unit (50) to select the output from the high-speed stereo processor (30) for a portion with a large motion, and the output from the high-precision stereo processor (40) for other portions. The image composition unit (50) composites the outputs from the high-speed stereo processor (30) and high-precision stereo processor (40) in accordance with an instruction from the motion detector (20), and outputs a depth map as final depth information.
A technique, associated system and program code, for retrieving depth information about at least one surface of an object. Core features include: projecting a composite image comprising a plurality of modulated structured light patterns, at the object; capturing an image reflected from the surface; and recovering pattern information from the reflected image, for each of the modulated structured light patterns. Pattern information is preferably recovered for each modulated structured light pattern used to create the composite, by performing a demodulation of the reflected image. Reconstruction of the surface can be accomplished by using depth information from the recovered patterns to produce a depth map/mapping thereof. Each signal waveform used for the modulation of a respective structured light pattern, is distinct from each of the other signal waveforms used for the modulation of other structured light patterns of a composite image; these signal waveforms may be selected from suitable types in any combination of distinct signal waveforms, provided the waveforms used are uncorrelated with respect to each other. The depth map/mapping to be utilized in a host of applications, for example: displaying a 3-D view of the object; virtual reality user-interaction interface with a computerized device; face--or other animal feature or inanimate object--recognition and comparison techniques for security or identification purposes; and 3-D video teleconferencing/telecollaboration.
A 3-dimensional image is generated from an input 2-dimensional image based upon illuminative characteristics of the input image by filtering the 2-dimensional input image with filters of different orientations, outputting base shading images corresponding to the filters, extracting positive pixel values for each base shading image, calculating a difference between the pixel values of the input image and the extracted positive pixel values, calculating a median value of the calculated difference, selecting the filter to output a base shading image of smallest median, outputting a shading image by filtering the input image with the selected filter, combining the input image with the shading image and outputting the 3-dimensional image based upon the combined image. A previously selected filter for a preceding image can be considered when selecting a filter for a current image, enabling generation of 3-dimensional moving pictures.
A method of acquiring 3D color information and a 3D color information acquisition apparatus, suitable for obtaining a 3D model of an object, use a pattern light source to acquire topography data for the object. More than 3 basic colors are used to construct the pattern to increase resolution with great number of color combination. According to the color composition and combination, color distortion caused by model projection can be prevented, thereby increasing the reliability and broadening the application of the color acquisition device and method.
