Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing maximum likelihood image binarization in a coded light range camera.

Abstract: A mechanism is described for facilitating management of image noise in digital images using a smart noise management filter according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, where detecting further includes detecting a pattern signal associated with the digital image. The method may further include measuring a spread function relating to at least one of the digital image and an imaging system of a computing device, where measuring further includes determining deconvolution of the spread function, and where measuring further includes computing a pre-shaping filter based on the deconvolution of the spread function. The method may further include executing the pre-shaping filter to apply the pattern signal to the deconvolution of the spread function to obtain a pre-shaped projection pattern of the digital image.

Abstract: A method and apparatus for projector distortion compensation in structured light depth reconstruction are described. In one embodiment, the apparatus comprises a projector configured to project a sequence of light patterns on an object; a first camera configured to capture a sequence of images of the object illuminated with the projected light patterns; a processing unit to receive the sequence of images and reconstruct depth using triangulation in response to camera and projector location coordinates; and a projector distortion compensation unit operable to generate a new projector location coordinate in response to an observed distorted projector location coordinate, the projector distortion compensation unit to provide the new projector location coordinate to the processing unit for use in generating depth values via triangulation.

Abstract: A method and apparatus for performing temperature compensation for thermal distortions in a camera system. In one embodiment, the system comprises a first camera configured to capture a sequence of images of the object; a second device; a processing unit to receive the sequence of images and determine depth information in response to parameters of the camera and the second device; one or more temperature sensors; and a thermal correction unit responsive to temperature information from the one or more temperature sensors to adjust one or more of the calibration parameters of the first camera and the second device.

Abstract: A mechanism is described for facilitating depth image dequantization at computing devices according to one embodiment. A method of embodiments, as described herein, includes detecting a digital image of an object, the digital image including pixels having associated pixel values contaminated by noise, and side information pertaining to confidence of a value acquired in each pixel. The method may further include measuring characteristics of noise in each pixel of the digital image, and a plurality of weights relating to one or more of the pixel values, the side information, and the noise characteristics. The method may further include computing a smart filter based on a combination of the plurality of weights, applying the smart filter to filter the digital image by reducing the noise in the digital image, and outputting the filtered digital image.

Abstract: A method and apparatus for performing a single view depth and texture calibration are described. In one embodiment, the apparatus comprises a calibration unit operable to perform a single view calibration process using a captured single view a target having a plurality of plane geometries having detectable features and being at a single orientation and to generate calibration parameters to calibrate one or more of the projector and multiple cameras using the single view of the target.