Abstract: Systems and methods for creating a treatment plan for cosmetic procedures are provided. The treatment plan automatically modifies or generates one or more proposed sites within a first body surface element based on one or more parameters in one or more second body surface elements. Various techniques and methods described in the application provide for improved planning of a procedure.

Abstract: A system and method for generating canvas representations of solar panel installation potential in a geographic area. The method includes: identifying, based on at least one location parameter, a plurality of addresses, wherein the at least one location parameter represents a geographic area including the plurality of addresses; extracting an image of a geographic area including the plurality of addresses; causing a determination of an installation layout for the plurality of addresses based on the extracted image; causing a generation of at least one solar analytic for each of the plurality of addresses based on the determined installation layout; and generating, based on the installation layout and the at least one solar analytic for each address, a canvas representation for the geographic area.

Abstract: An image processing system or electronic device may implement processing circuitry. The processing circuitry may receive an image, such as financial document image. The processing circuitry may determine a character count for the financial document image or particular portions of the financial document image without recognizing any particular character in the financial document image. In that regard, the processing circuitry may determine a top left score for pixels in the financial document, the top left score indicating or representing a likelihood that a particular pixel corresponds to a top left corner of a text character. The processing circuitry may also determine top right score for image pixels. Then, the processing circuitry may identify one or more text chunks using the top left and top rights scores for pixels in the financial document image. The processing circuitry may determine a character count for the identified text chunks.

Abstract: An Optical Coherence Tomography (OCT) data processing apparatus includes an acquisition unit configured to acquire three dimensional (3-D) OCT data of an object to be inspected, a generation unit configured to generate a motion contrast image based on the 3-D OCT data, and a detection unit configured to detect a inner surface coordinate of a vessel wall based on position information of an edge of a vessel region in the motion contrast image.

Abstract: A method for detecting holographic elements in a video stream containing images in the form of documents includes: processing of a video stream in which the document image is stabilized; constructing saturation and color tone maps; analyzing color characteristics in image regions; constructing histograms of color characteristics; estimating a change in the color characteristics at least in part based on data obtained by calculating a difference between the histograms of a current and a previous frame; constructing an integrated map of hologram presence estimates by combining calculated estimates for all video stream frames based at least in part on the estimation of the change in color characteristics; and determining final regions of the holographic elements based at least in part on the integrated map of the hologram presence estimates.

Abstract: A five-index quantitative analysis of OCT angiograms is disclosed. One method of analyzing an anatomical region of interest of a subject includes acquiring vascular image data from the region of interest and generating a binary vasculature map from the vascular image data. A vessel skeleton map and vessel perimeter map are generated from the binary vasculature map. Based on the three generated maps, a vessel area density, vessel skeleton density, vessel perimeter index, vessel diameter index, and vessel complexity can be determined, in addition to detection of any flow impairment zones in the region of interest. These metrics can be used to detect and assess vascular abnormalities from multiple perspectives.

Abstract: System and method for detecting objects in geospatial images, 3D point clouds and Digital Surface Models (DSMs). Deep Convolution Neural Networks (DCNNs) are trained using positive and negative training examples. Using a rotation pattern match of only positive examples reduces the number of negative examples required. In DCNNs softmax probability is variant of rotation angles. When rotation angle is coincident with object orientation, softmax probability has maximum value. During training, positive examples are rotated so that their orientation angles are zero. During detection, test images are rotated through different angles. At each angle, softmax probability is computed. A final object detection is based on maximum softmax probability as well as a pattern match between softmax probability patterns of all positive examples and the softmax probability pattern of a target object at different rotation angles.

Abstract: The present invention encompasses a physical or virtual, computational, analysis, fusion and correlation system that can automatically, systematically and independently analyze collected sensor data (upstream) aboard or streaming from aerial vehicles and/or other fixed or mobile single or multi-sensor platforms. The resultant data is fused and presented locally, remotely or at ground stations in near real time, as it is collected from local and/or remote sensors. The invention improves detection and reduces false detections compared to existing systems using portable apparatus or cloud based computation and capabilities designed to reduce the role of the human operator in the review, fusion and analysis of cross modality sensor data collected from ISR (Intelligence, Surveillance and Reconnaissance) aerial vehicles or other fixed and mobile ISR platforms. The invention replaces human sensor data analysts with hardware and software providing two significant advantages over the current manual methods.

Abstract: A motion tracking system monitors the motions performed by a user based on motion data received from one or more sensors. The motion tracking system may include a motion tracking device with one or more sensors, a smart device with one or more sensors and/or a server. As the user interacts with the motion tracking system or smart device the motion data generated by one or more sensors is processed by a software application. The software application generates interpreted data based on the motion data and contextual data such as the equipment being used by the user. Feedback is then provided to the user during and/or after the user has performed a motion or a set of motions. The feedback provided to the user may be visual, audio or tactile. The application may be used to monitor a routine in a sporting, fitness, industrial or medical environment, for example.

Abstract: Embodiment of the present disclosure discloses method and device for determining one or more characteristics of currency note. The currency evaluating device is configured to receive image of currency note and detect text from one or more predefined first regions of image. Further, language associated with detected text is identifies and one of single nationality and plurality of nationalities associated with language of currency note is obtained from data source associated with currency evaluating device. When single nationality is obtained, nationality of currency note is identified to be said single nationality. When plurality of nationalities is obtained, nationality of currency note is identified from plurality of nationalities using Optical Character Recognition (OCR). Upon identifying nationality, one or more characteristics of currency note is identified by extracting object features on image based on identified nationality.

Abstract: An example method for analyzing quantitative information obtained from radiological images includes identifying a ROI or a VOI in a radiological image, segmenting the ROI or the VOI from the radiological image and extracting quantitative features that describe the ROI or the VOI. The method also includes creating a radiological image record including the quantitative features, imaging parameters of the radiological image and clinical parameters and storing the radiological image record in a data structure containing a plurality of radiological image records. In addition, the method includes receiving a request with the patient's radiological image or information related thereto, analyzing the data structure to determine a statistical relationship between the request and the radiological image records and generating a patient report with a diagnosis, a prognosis or a recommended treatment regimen for the patient's disease based on a result of analyzing the data structure.

Abstract: The present invention is a method to register 3D image data with fluoroscopic images of the chest of a patient. The ribs and spine, which are visible in the fluoroscopic images, are analyzed and a rib signature or cost map is generated. The rib signature or cost map is matched to corresponding structures of the 3D image data of the patient. Registration is evaluated by computing a difference between the fluoroscopic image and a virtual fluoroscopic projected image of the 3D data. Related systems are also described.

Abstract: A three dimensional object recognition device has in-vehicle cameras capturing front images of a vehicle, a recognition section and a light shaft judgment section. The recognition section detects a three dimensional object in the front images based on a parallax generated between the front images. The light shaft judgment section detects whether a light shaft phenomenon has happened in a three dimensional object area in at least one of the front images, and judges that the detected three dimensional object is an incorrect three dimensional object caused due to the light shaft phenomenon when detecting the light shaft phenomenon at every time when the recognition section detects the three dimensional object.

Abstract: A method for detecting at least one analyte in at least one sample of a body fluid is disclosed. Therein, at least one test element (124) is used, the at least one test element (124) having at least one test field (162) with at least one test chemistry (154) is used, wherein the test chemistry (154) is adapted to perform at least one optically detectable detection reaction in the presence of the analyte. The method comprises acquiring an image sequence of images of the test field (162) by using at least one image detector (178). Each image comprises a plurality of pixels. The method further comprises detecting at least one characteristic feature of the test field (162) in the images of the image sequence. The method further comprises correcting a relative position change between the image detector (178) and the test field (162) in the image sequence by using the characteristic feature, thereby obtaining a sequence of corrected images.

Abstract: An image processing apparatus comprises a moving object detection unit configured to detect a moving object from a moving image; a detection unit configured to detect from the moving image a line corresponding to the moving object; and a determination unit configured to determine, based on a detection result of the detection unit, whether the moving object is a self-moving object.

Abstract: An image processing apparatus according to an aspect of the disclosure includes a first deformation acquisition unit configured to perform registration of a first image and a second image and acquire a first deformation parameter that expresses a deformation between the first image and the second image by using a first deformation model, a generation unit configured to generate intermediate data that indicates a deformation expressed by the first deformation model and the first deformation parameter, and a second deformation acquisition unit configured to acquire, based on the intermediate data, a second deformation parameter that expresses a deformation, which is indicated by the intermediate data, by using a second deformation model.

Abstract: Apparatuses and methods associated with preserving a level of confidence of authenticity of an object are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; initializing a database record associated with the physical object responsive to identifying the first authentication data; determining whether the first authentication data corresponds to original provenance for the physical object; in response to determining that the first authentication data does not correspond to original provenance for the physical object, acquire and store in the database record first record data including authenticity information available in association with identification of the first authentication data; in response to determining that the first authentication data does correspond to original provenance for the physical object, retaining second record data in the database record.

Abstract: There is provided an image processing device capable of generating a more accurate analysis image by extracting a region, which exists at a boundary between different substances and has a pixel value that is non-uniform and continuously changes, from volume data. The image processing device acquires the volume data of a region which includes a large intestine, sets a plurality of starting points of region expansion in a boundary region between air and a residue in the large intestine, sets a condition of an expandable range of a width according to a gradient of a pixel value of each of the starting points, performs a region expansion process from each of the starting points according to the set condition, and generates the analysis image based on the result of the region expansion process.

Abstract: A method for processing media assets includes, given a first media asset, deriving characteristics from the first media asset, searching for other media assets having characteristics that correlate to the characteristics of the first media asset, when a match is found, deriving content corrections for the first media asset or a matching media asset from the other of the first media asset or the matching media asset, and correcting content of the first media asset or the matching media asset based on the content corrections.

Abstract: A variation of a method for estimating a quantity of a blood component in a fluid canister includes: within an image of a canister, identifying a reference marker on the canister; selecting an area of the image based on the reference marking; correlating a portion of the selected area with a fluid level within the canister; estimating a volume of fluid within the canister based on the fluid level; extracting a feature from the selected area; correlating the extracted featured with a concentration of a blood component within the canister; and estimating a quantity of the blood component within the canister based on the estimated volume and the concentration of the blood component within the canister.