Structure aware image denoising and noise variance estimation techniques are described. In one or more implementations, structure-aware denoising is described which may take into account a structure of patches as part of the denoising operations. This may be used to select one or more reference patches for a pixel based on a structure of the patch, may be used to compute weights for patches that are to be used to denoised a pixel based on similarity of the patches, and so on. Additionally, implementations are described to estimate noise variance in an image using a map of patches of an image to identify regions having pixels having a variance that is below a threshold. The patches from the one or more regions may then be used to estimate noise variance for the image.

Disclosed are a lip-reading recognition method and apparatus based on a projection extreme learning machine. The method includes: obtaining a training sample and a test sample that are corresponding to the projection extreme learning machine PELM, where the training sample and the test sample each include n videos, n is a positive integer greater than 1, the training sample includes a category identifier corresponding to each video in the training sample; training the PELM according to the training sample, and determining a weight matrix W of an input layer in the PELM and a weight matrix β of an output layer in the PELM, to obtain a trained PELM; and identifying a category identifier of the test sample according to the test sample and the trained PELM. The lip-reading recognition method and apparatus based on the projection extreme learning machine can improve lip-reading recognition accuracy.

Apparatus and techniques are described herein for nuclear magnetic resonance (MR) projection imaging. Such projection imaging may be used to control radiation therapy delivery to a subject, such as including receiving reference imaging information, generating a two-dimensional (2D) projection image using imaging information obtained via nuclear magnetic resonance (MR) imaging, the 2D projection image corresponding to a specified projection direction, the specified projection direction including a path traversing at least a portion of an imaging subject, determining a change between the generated 2D projection image and the reference imaging information, and controlling delivery of the radiation therapy at least in part using the determined change between the obtained 2D projection image and the reference imaging information.

A system and method for positioning oilfield tubulars on a drilling floor (2), having an automated tubular handling system, to permit alignment and automated make up and break out of threading operations between a stationary tubular (8) and a moving tubular (34), utilizing image information from radially offset cameras (54, 56), processing the image information to recognize the tubulars within the image and develop position information for said tubulars, combining the position information from the two camera systems to develop three dimensional information for each of the tubulars, developing instructions for the automated tubular handling system to bring the stationary and moving tubulars into vertical alignment and lowering the moving tubular into threaded contact, and engaging an automated hydraulic torque wrench to make up the threaded connection.

A method includes sensing one or more pattern elements on a patterned contact lens on the eye of a person. Movement or direction of the person's eye is assessed based on the sensing of the one or more pattern elements. The pattern elements may be sensed using a single-pixel sensor. The pattern may include, for example, a pattern of elements having different colors.

A method is disclosed of discriminating detected objects in an area with a vision apparatus. The method includes generating image data of a portion of the area using an imaging device of the object detection device, and processing the image data to classify the image data as an imaged scene type selected from a plurality of scene types stored as scene type data in the memory. The method further includes processing the image data using the object identification data to generate object detection data for each object of the plurality of objects located in the portion of the area, each object detection data having a corresponding scene type of the plurality of scene types obtained from the object identification data, and generating user a sensible output only for the object detection data having a corresponding scene type that is the same as the imaged scene type.

An image processing apparatus, an image processing system, a vehicle, an imaging apparatus and an image processing method for dynamically determining an image processing area in a captured image of vehicle's surrounding area are provided. The image processing apparatus, mounted on the vehicle, includes a processor configured to determine an image processing area on a captured image of a traveling path The processor is configured to perform processing to determine at least a part of an approximate line corresponding to a distal end of the traveling path in the captured image based on at least one of the luminance information and the color information of the captured image and processing to determine the image processing area based on a position previously determined relative to at least a part of the approximate line.

A position measuring apparatus detects, from respective first and second imaging planes of first and second captured images, first and second corresponding points estimated to represent a common three-dimensional position. The apparatus calculates first to fourth projected points. Each of the first and second projected points represents a projected point of the first corresponding point on a corresponding one of the first and second common planes. Each of the third and fourth projected points represents a projected point of the second corresponding point on a corresponding one of the first and second common planes. The apparatus calculates a first beam connecting the first and second projected points, a second beam connecting the third and fourth projected points, and a point having a minimum square distance relative to each of the first and second beams as a restored point representing the three-dimensional position of the first and second corresponding points.

Technical solutions are described for monitoring health of a user by a healthcare system. An example computer-implemented method includes accessing a current image of the user. The computer-implemented method also includes determining a healthcare routine for the user. The computer-implemented method also includes generating a modified image of the user, where the modified image includes a predicted effect of the healthcare routine. The computer-implemented method also includes displaying, for viewing by the user, the modified image, and information about the healthcare routine.

Computer-implemented methods for detecting and characterizing surface depressions in a topographical landscape based on processing of high resolution digital elevation model data according to a local tree contour algorithm applied to an elevation contour representation of the landscape, and characterizing the detected surface depressions according to morphometric threshold values derived from data relevant to surface depressions of the topographical area. Non-transitory computer readable media comprising computer-executable instructions for carrying out the methods are also provided.