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 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 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.

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: Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.

Abstract: A camera intrinsic calibration may be performed using an object geometry. An intrinsic camera matrix may then be recovered. A homography is fit between object and camera coordinate systems. View transformations are finally recovered.

Abstract: Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.

Abstract: A camera intrinsic calibration may be performed using an object geometry. An intrinsic camera matrix may then be recovered. A homography is fit between object and camera coordinate systems. View transformations are finally recovered.

Abstract: A method of processing an image is disclosed. The method comprises decomposing the image into a plurality of channels, each being characterized by a different depth-of-field, and accessing a computer readable medium storing an in-focus dictionary defined over a plurality of dictionary atoms, and an out-of-focus dictionary defined over a plurality of sets of dictionary atoms, each set corresponding to a different out-of-focus condition. The method also comprises computing one or more sparse representations of the decomposed image over the dictionaries.

Abstract: A projector illuminates an object, within the field of view of a camera, with a sequence of code patterns. The camera captures the illuminated object and provides object images to a decoder to convert the code patterns into code. A transition locator locates discontinuities in the code pattern images. A dequantizer reconstructs a range image from those discontinuities and said code.

Abstract: Embodiments of the present disclosure provide techniques and configurations for an optoelectronic three-dimensional object acquisition assembly configured to correct image distortions. In one instance, the assembly may comprise a first device configured to project a light pattern on an object at a determined angle; a second device configured to capture a first image of the object illuminated with the projected light pattern; a third device configured to capture a second image of the object; and a controller coupled to the first, second, and third devices and configured to reconstruct an image of the object from geometric parameters of the object obtained from the first image, and to correct distortions in the reconstructed image caused by a variation of the determined angle of the light pattern projection, based at least in part on the first and second images of the object. Other embodiments may be described and/or claimed.

Abstract: A camera intrinsic calibration may be performed using an object geometry. An intrinsic camera matrix may then be recovered. A homography is fit between object and camera coordinate systems. View transformations are finally recovered.

Abstract: A projector illuminates an object, within the field of view of a camera, with a sequence of code patterns. The camera captures the illuminated object and provides object images to a decoder to convert the code patterns into code. A transition locator locates discontinuities in the code pattern images. A dequantizer reconstructs a range image from those discontinuities and said code.

Abstract: The present invention is a video digest which extracts only the relevant information out of the video content according to user preferences. Video digest generator is a combination of hardware and software constituting a component of the digital video recorder, which analyzes the content and extracts only the portions which are meaningful or important for the user.

Abstract: The present invention is a video digest which extracts only the relevant information out of the video content according to user preferences. Video digest generator is a combination of hardware and software constituting a component of the digital video recorder, which analyzes the content and extracts only the portions which are meaningful or important for the user.