Abstract: Systems and methods are described for generating models of three-dimensional objects using an identified template from a library of reference objects. An object may be scanned using a 3D scanner or other computing device, which may generate scan data including a “point cloud” of geometric points corresponding to the surface of the object. The point cloud or other scan data may be used to identify a reference object that corresponds to the scanned object, and a normalized point cloud may be obtained for the reference object. The normalized point cloud may then be deformed to more accurately fit the shape of the scanned object, and a 3D model may be generated based on the deformed point cloud. Multiple templates may be used to generate a normalized point cloud for an object that partially corresponds to more than one reference object, and images, meshes, wireframes, or other representations may be generated.

Abstract: The present inventors have demonstrated that circulating auto-antibodies to cancer antigens hold promise as specific and sensitive biomarkers for the early detection of cancer. The present invention thus relates to methods of detecting cancer in a sample, comprising utilizing a glycopeptide bait derived from human mucins with different cancer-associated O-glycans. Detected antibodies were demonstrated as glycopeptide specific, and it could be discriminated between e.g. colorectal cancer patients and healthy individuals. The inventors have also developed monoclonal antibodies based on the identified glycopeptides epitope baits, and demonstrated differential expression of the relevant target antigens. The invention thus, in a lock and key-based manner includes both glycopeptides and antibody tools for early detection of cancer, as well as methods of using the same for in situ visualization and treatment of specific cancer types.

Abstract: The present inventors have demonstrated that circulating auto-antibodies to cancer antigens hold promise as specific and sensitive biomarkers for the early detection of cancer. The present invention thus relates to methods of detecting cancer in a sample, comprising utilising a glycopeptide bait derived from human mucins with different cancer-associated O-glycans. Detected antibodies were demonstrated as glycopeptide specific, and it could be discriminated between e.g. colorectal cancer patients and healthy individuals. The inventors have also developed monoclonal antibodies based on the identified glycopeptides epitope baits, and demonstrated differential expression of the relevant target antigens. The invention thus, in a lock and key-based manner includes both glycopeptides and antibody tools for early detection of cancer, as well as methods of using the same for in situ visualisation and treatment of specific cancer types.

Abstract: A system is described for reducing artifacts produced by a rolling shutter capture technique in the presence of high-frequency motion, e.g., produced by large accelerations or jitter. The system operates by computing low-frequency information based on the motion of points from one frame to the next. The system then uses the low-frequency information to infer the high-frequency motion, e.g., by treating the low-frequency information as known integrals of the unknown underlying high-frequency information. The system then uses the high-frequency information to reduce the presence of artifacts. In effect, the correction aims to re-render video information as though all the pixels in each frame were imaged at the same time using a global shutter technique. An auto-calibration module can estimate the value of a capture parameter, which relates to a time interval between the capture of two subsequent rows of video information.

Abstract: Noise in an image is reduced in a manner that takes into account edge information in one or more channels of the image. A first image is received that is formatted according to a red-green-blue (RGB) color model. The first image is converted from the RGB color model to a second color model that includes at least a luminance channel, a first chrominance channel, and a second chrominance channel that are representative of the first image. The first and second chrominance channels are each denoised in a manner that accounts at least for edge information in the luminance channel, and may also include edge information from other channels in a manner that accounts for per-channel noise characteristics. The luminance channel and denoised first and second chrominance channels are converted to a second image formatted according to the RGB color model that is a noise-reduced version of the first image.

Abstract: A system is described for reducing artifacts produced by a rolling shutter capture technique in the presence of high-frequency motion, e.g., produced by large accelerations or jitter. The system operates by computing low-frequency information based on the motion of points from one frame to the next. The system then uses the low-frequency information to infer the high-frequency motion, e.g., by treating the low-frequency information as known integrals of the unknown underlying high-frequency information. The system then uses the high-frequency information to reduce the presence of artifacts. In effect, the correction aims to re-render video information as though all the pixels in each frame were imaged at the same time using a global shutter technique. An auto-calibration module can estimate the value of a capture parameter, which relates to a time interval between the capture of two subsequent rows of video information.

Abstract: A Bayesian two-color image demosaicer and method for processing a digital color image to demosaic the image in such a way as to reduce image artifacts. The method and system are an improvement on and an enhancement to previous demosaicing techniques. A preliminary demosaicing pass is performed on the image to assign each pixel a fully specified RGB triple color value. The final color value of pixel in the processed image is restricted to be a linear combination of two colors. Fully-specified RGB triple color values for each pixel in an image used to find two clusters represented favored two colors. The amount of contribution from these favored two colors on the final color value then is determined. The method and system also can process multiple images to improve the demosaicing results. When using multiple images, sampling can be performed at a finer resolution, known as super resolution.

Abstract: Noise in an image is reduced in a manner that takes into account edge information in one or more channels of the image. A first image is received that is formatted according to a red-green-blue (RGB) color model. The first image is converted from the RGB color model to a second color model that includes at least a luminance channel, a first chrominance channel, and a second chrominance channel that are representative of the first image. The first and second chrominance channels are each denoised in a manner that accounts at least for edge information in the luminance channel, and may also include edge information from other channels in a manner that accounts for per-channel noise characteristics. The luminance channel and denoised first and second chrominance channels are converted to a second image formatted according to the RGB color model that is a noise-reduced version of the first image.

Abstract: A bilateral filter is implemented to allow a digital image to be enhanced while mitigating the formation of ringing artifacts or halos within the image. The bilateral filter allows the digital image to be decomposed into a detail feature image and a large-scale feature image, where the image's textures are primarily comprised within the detail image, and the image's edges are primarily comprised within the large-scale feature image. By decomposing the image into these two sub-images and then globally scaling their respective magnitudes, it is possible to adjust the textures within the image substantially independent of the edges in the image and vice versa. This allows the apparent amount of texture in the scene to be enhanced while mitigating the formation of ringing artifacts or halos around edges in the image.