Abstract: Disclosed are a device of complex gas mixture detection based on optical-path-adjustable spectrum detection and a method therefor, and the device includes: a light source configured for generating an incident beam and emitting the incident beam into an optical gas cell; the optical gas cell, including a cavity configured for accommodating a gas sample, and a reflection module group configured for reflecting the incident beam and a track arranged in the cavity, where the track is consistent with a light path of the light beam in the cavity; a detector module that is connected with the track in a relatively movable manner and is configured for receiving light beams and obtaining spectral data, where an optical path is changed by moving the detector module relative to the track; and a data acquisition unit that is configured for acquiring the spectral data obtained by the detector module.

Abstract: Systems and methods are provided for operating image modules via an artificial reality (AR) device. In various exemplary embodiments, an artificial reality device may initiate a first camera of the AR device to identify a picture region and may track at least one gaze via a second camera of the AR device or at least one gesture via the first camera. The AR device may be a head-mounted device, for example, including a plurality of inward and outward facing cameras. The AR device may determine a region of interest within the picture region based on the at least one tracked gaze or gesture and may focus on the region of interest via the first camera. The focusing operations may include at least one of an auto-exposure operation, an auto-focus operation, or a stabilizing operation.

Abstract: Devices, methods, and non-transitory program storage devices are disclosed to provide enhanced images in multi-camera systems, e.g., by using information from images captured by cameras with different properties in terms of optics and/or sensors. In one embodiment, the techniques comprise: obtaining a first image from a first image capture device, wherein the first image has a first field of view (FOV) and a first set of quality characteristics; obtaining a second image from a second image capture device, wherein the second image has a second FOV and a second set of quality characteristics, and wherein the second FOV partially overlaps the first FOV; obtaining a neural network that produces a modified second image having a modified second set of quality characteristics determined by the neural network attempting to match the first set of quality characteristics; and generating an output image based, at least in part, on the modified second image.

Abstract: Foreign lighting effects, such as lens flare, are very common in natural images. In a two-camera-system, the two images may be fused together to generate one image of a better quality. However, there are frequently different foreign light patterns in the two images that form the image pair, e.g., due to the difference in lens design, sensor and position, etc. Directly fusing such pairs of images will result in non-photorealistic images, with composed foreign light patterns from both images from the image pair. This disclosure describes a general foreign light mitigation scheme to detect all kinds of foreign light region mismatches. The detected foreign light mismatch regions may be deemphasized or excluded in the fusion step, in order to create a fused image that keeps a natural-looking foreign light pattern that is close to what was seen by the user of an image capture device during an image capture preview mode.

Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring ultrasound information, determining discriminative descriptors that describe the texture of a candidate lesion region, and classifying each of the discriminative descriptors as one of a top boundary pixel, a lesion interior pixel, a lower boundary pixel, or a normal tissue pixel. The method also includes determining a pattern of transitions between the classified discriminative descriptors, and classifying the candidate lesion region as a lesion or normal tissue based on the pattern of transitions between the classified discriminative descriptors.

Abstract: Image fusion techniques hide artifacts that can arise at seams between regions of different image quality. According to these techniques, image registration may be performed on multiple images having at least a portion of image content in common. A first image may be warped to a spatial domain of a second image based on the image registration. A fused image may be generated from a blend of the warped first image and the second image, wherein relative contributions of the warped first image and the second image are weighted according to a distribution pattern based on a size of a smaller of the pair of images. In this manner, contributions of the different images vary at seams that otherwise would appear.

Abstract: Systems, methods, and computer readable media to rapidly identify and track an arbitrary sized object through a temporal sequence of frames is described. The object being tracked may initially be identified via a specified or otherwise known region-of-interest (ROI). A portion of that ROI can be used to generate an initial or reference histogram and luminosity measure, metrics that may be used to identify the ROI in a subsequent frame. For a frame subsequent to the initial or reference frame, a series of putative ROIs (each having its own location and size) may be identified and the “best” of the identified ROIs selected. As used here, the term “best” simply means that the more similar two frames' histograms and luminosity measures are, the better one is with respect to the other.

Abstract: Foreign lighting effects, such as lens flare, are very common in natural images. In a two-camera-system, the two images may be fused together to generate one image of a better quality. However, there are frequently different foreign light patterns in the two images that form the image pair, e.g., due to the difference in lens design, sensor and position, etc. Directly fusing such pairs of images will result in non-photorealistic images, with composed foreign light patterns from both images from the image pair. This disclosure describes a general foreign light mitigation scheme to detect all kinds of foreign light region mismatches. The detected foreign light mismatch regions may be deemphasized or excluded in the fusion step, in order to create a fused image that keeps a natural-looking foreign light pattern that is close to what was seen by the user of an image capture device during an image capture preview mode.

Abstract: Techniques to identify and track a pre-identified region-of-interest (ROI) through a temporal sequence of frames/images are described. In general, a down-sampled color gradient (edge map) of an arbitrary sized ROI from a prior frame may be used to generate a small template. This initial template may be used to identify a region of a new or current frame that may be overscan and used to create a current frame's edge map. By comparing the prior frame's template to the current frame's edge map, a cost value or image may be found and used to identify the current frame's ROI center. The size of the current frame's ROI may be found by varying the size of putative new ROIs and testing for their congruence with the prior frame's template. Subsequent ROI's for subsequent frames may be identified to, effectively, track an arbitrarily sized ROI through a sequence of video frames.

Abstract: Techniques to permit a digital image capture device to stabilize a video stream in real-time (during video capture operations) are presented. In general, techniques are disclosed for stabilizing video images using an overscan region and a look-ahead technique enabled by buffering a number of video input frames before generating a first stabilized video output frame. (Capturing a larger image than is displayed creates a buffer of pixels around the edge of an image; overscan is the term given to this buffer of pixels.) More particularly, techniques are disclosed for buffering an initial number of input frames so that a “current” frame can use motion data from both “past” and “future” frames to adjust the strength of a stabilization metric value so as to keep the current frame within its overscan. This look-ahead and look-behind capability permits a smoother stabilizing regime with fewer abrupt adjustments.

Abstract: Techniques to identify and track a pre-identified region-of-interest (ROI) through a temporal sequence of frames/images are described. In general, a down-sampled color gradient (edge map) of an arbitrary sized ROI from a prior frame may be used to generate a small template. This initial template may be used to identify a region of a new or current frame that may be overscan and used to create a current frame's edge map. By comparing the prior frame's template to the current frame's edge map, a cost value or image may be found and used to identify the current frame's ROI center. The size of the current frame's ROI may be found by varying the size of putative new ROIs and testing for their congruence with the prior frame's template. Subsequent ROI's for subsequent frames may be identified to, effectively, track an arbitrarily sized ROI through a sequence of video frames.

Abstract: Systems, methods, and computer readable media to rapidly identify and track an arbitrary sized object through a temporal sequence of frames is described. The object being tracked may initially be identified via a specified or otherwise known region-of-interest (ROI). A portion of that ROI can be used to generate an initial or reference histogram and luminosity measure, metrics that may be used to identify the ROI in a subsequent frame. For a frame subsequent to the initial or reference frame, a series of putative ROIs (each having its own location and size) may be identified and the “best” of the identified ROIs selected. As used here, the term “best” simply means that the more similar two frames' histograms and luminosity measures are, the better one is with respect to the other.

Abstract: Techniques to permit a digital image capture device to stabilize a video stream in real-time (during video capture operations) are presented. In general, techniques are disclosed for stabilizing video images using an overscan region and a look-ahead technique enabled by buffering a number of video input frames before generating a first stabilized video output frame. (Capturing a larger image than is displayed creates a buffer of pixels around the edge of an image; overscan is the term given to this buffer of pixels.) More particularly, techniques are disclosed for buffering an initial number of input frames so that a “current” frame can use motion data from both “past” and “future” frames to adjust the strength of a stabilization metric value so as to keep the current frame within its overscan. This look-ahead and look-behind capability permits a smoother stabilizing regime with fewer abrupt adjustments.

Abstract: Techniques to permit a digital image capture device to stabilize a video stream in real-time (during video capture operations) are presented. In general, techniques are disclosed for stabilizing video images using an overscan region and a look-ahead technique enabled by buffering a number of video input frames before generating a first stabilized video output frame. (Capturing a larger image than is displayed creates a buffer of pixels around the edge of an image; overscan is the term given to this buffer of pixels.) More particularly, techniques are disclosed for buffering an initial number of input frames so that a “current” frame can use motion data from both “past” and “future” frames to adjust the strength of a stabilization metric value so as to keep the current frame within its overscan. This look-ahead and look-behind capability permits a smoother stabilizing regime with fewer abrupt adjustments.

Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring an ultrasound image, generating a Fisher-tippett (FT) distribution-based edge feature map from the acquired ultrasound image, generating gradient concentration (GC) scores for pixels of the acquired ultrasound image using the FT distribution-based edge feature map, and identifying a candidate lesion region within the acquired ultrasound image based on the GC scores.

Abstract: Techniques to permit a digital image capture device to stabilize a video stream in real-time (during video capture operations) are presented. In general, techniques are disclosed for stabilizing video images using an overscan region and a look-ahead technique enabled by buffering a number of video input frames before generating a first stabilized video output frame. (Capturing a larger image than is displayed creates a buffer of pixels around the edge of an image; overscan is the term given to this buffer of pixels.) More particularly, techniques are disclosed for buffering an initial number of input frames so that a “current” frame can use motion data from both “past” and “future” frames to adjust the strength of a stabilization metric value so as to keep the current frame within its overscan. This look-ahead and look-behind capability permits a smoother stabilizing regime with fewer abrupt adjustments.

Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring an ultrasound image, generating a Fisher-tippett (FT) distribution-based edge feature map from the acquired ultrasound image, generating gradient concentration (GC) scores for pixels of the acquired ultrasound image using the FT distribution-based edge feature map, and identifying a candidate lesion region within the acquired ultrasound image based on the GC scores.

Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring ultrasound information, determining discriminative descriptors that describe the texture of a candidate lesion region, and classifying each of the discriminative descriptors as one of a top boundary pixel, a lesion interior pixel, a lower boundary pixel, or a normal tissue pixel. The method also includes determining a pattern of transitions between the classified discriminative descriptors, and classifying the candidate lesion region as a lesion or normal tissue based on the pattern of transitions between the classified discriminative descriptors.

Abstract: The present invention provides a method for diagnosing and determining prognosis of gastric cancer in a subject by detecting suppressed expression of the BCL6B gene, which in some cases is due to elevated methylation level in the genomic sequence of this gene. A kit and device useful for such a method are also provided. In addition, the present invention provides a method for treating gastric cancer by increasing BCL6B gene expression or activity.

Abstract: In embodiments the expression or methylation of the PAX5 gene is used as a marker for the diagnosis and prognosis of gastric cancer. In further embodiments methods for detecting gastric cancer are disclosed as are methods for inhibiting the growth of gastric cancer.