Methods, systems and computer program products (“software”) for rendering scene content in a form configured for visually improved presentation on at least one holographic display device comprise: (A) recognizing at least one meaningful element within the scene content; (B) selecting, from the at least one recognized meaningful element, at least one selected meaningful scene element; (C) determining, based at least in part on the at least one selected meaningful scene element, at least one scene transform; and (D) utilizing the at least one determined scene transform, rendering multiple 2-dimensional perspectives of the content, the multiple 2-dimensional perspectives being configured for visually improved presentation on at least one holographic display device.

Systems and methods in accordance with embodiments of the invention are disclosed that use super-resolution (SR) processes to use information from a plurality of low resolution (LR) images captured by an array camera to produce a synthesized higher resolution image. One embodiment includes obtaining input images using the plurality of imagers, using a microprocessor to determine an initial estimate of at least a portion of a high resolution image using a plurality of pixels from the input images, and using a microprocessor to determine a high resolution image that when mapped through the forward imaging transformation matches the input images to within at least one predetermined criterion using the initial estimate of at least a portion of the high resolution image. In addition, each forward imaging transformation corresponds to the manner in which each imager in the imaging array generate the input images, and the high resolution image synthesized by the microprocessor has a resolution that is greater than any of the input images.

A device for determining the surface topology and associated color of a structure, such as a teeth segment, includes a scanner for providing depth data for points along a two-dimensional array substantially orthogonal to the depth direction, and an image acquisition means for providing color data for each of the points of the array, while the spatial disposition of the device with respect to the structure is maintained substantially unchanged. A processor combines the color data and depth data for each point in the array, thereby providing a three-dimensional color virtual model of the surface of the structure. A corresponding method for determining the surface topology and associate color of a structure is also provided.

A device for determining the surface topology and associated color of a structure, such as a teeth segment, includes a scanner for providing depth data for points along a two-dimensional array substantially orthogonal to the depth direction, and an image acquisition means for providing color data for each of the points of the array, while the spatial disposition of the device with respect to the structure is maintained substantially unchanged. A processor combines the color data and depth data for each point in the array, thereby providing a three-dimensional color virtual model of the surface of the structure. A corresponding method for determining the surface topology and associate color of a structure is also provided.

An image signal processor includes a register and a disparity correction unit. The register stores disparity data obtained from a pattern image data that an image senor generates, and the image sensor includes a plurality of pixels, and each of the pixel includes at least a first photoelectric conversion element and a second photoelectric conversion element. The image sensor generates the pattern image data in response to a pattern image located at a first distance from the image sensor. The disparity correction unit corrects a disparity distortion of an image data based on the disparity data to generate a result image data, and the image senor generates the image data by capturing an object.

An image signal processor includes a register and a disparity correction unit. The register stores disparity data obtained from a pattern image data that an image senor generates, and the image sensor includes a plurality of pixels, and each of the pixel includes at least a first photoelectric conversion element and a second photoelectric conversion element. The image sensor generates the pattern image data in response to a pattern image located at a first distance from the image sensor. The disparity correction unit corrects a disparity distortion of an image data based on the disparity data to generate a result image data, and the image senor generates the image data by capturing an object.

Described are methods for identifying the in-field positions of plant features on a plant by plant basis. These positions are determined based on images captured as a vehicle (e.g., tractor, sprayer, etc.) including one or more cameras travels through the field along a row of crops. The in-field positions of the plant features are useful for a variety of purposes including, for example, generating three-dimensional data models of plants growing in the field, assessing plant growth and phenotypic features, determining what kinds of treatments to apply including both where to apply the treatments and how much, determining whether to remove weeds or other undesirable plants, and so on.

Described are methods for identifying the in-field positions of plant features on a plant by plant basis. These positions are determined based on images captured as a vehicle (e.g., tractor, sprayer, etc.) including one or more cameras travels through the field along a row of crops. The in-field positions of the plant features are useful for a variety of purposes including, for example, generating three-dimensional data models of plants growing in the field, assessing plant growth and phenotypic features, determining what kinds of treatments to apply including both where to apply the treatments and how much, determining whether to remove weeds or other undesirable plants, and so on.

An augmented reality, AR, system (100) for use in a medical procedure is disclosed. The AR system (100) comprises an AR headset (2), and a processor (12), The AR headset (2) comprises a camera (6a, 6b), a near eye display (4a, 4b) and a distance sensor (10a, 10b). The processor (12) is configured to adjust the position of the image obtained by the camera (6a, 6b) on the display (4a, 4b) throughout the medical procedure based on changes in the distance measured by the distance sensor (10a, 10b).

A camera module including a lighting unit configured to output an incident light signal to be emitted to an object, a lens unit configured to concentrate a reflected light signal reflected from the object, an image sensor unit configured to generate electric signals from the reflected light signal concentrated by the lens unit, a tilting unit configured to shift an optical path of at least one of the incident light signal and the reflected light signal for each image frame in units of subpixels of the image sensor unit, and an image control unit configured to extract depth information of the object using a phase difference between the incident light signal and the reflected light signal. The image control unit includes an image controller configured to extract the depth information having a higher resolution than a plurality of subframes generated using the electric signals on the basis of the subframes.