Abstract: In variants, a method for automated gamete selection can include: sampling a video of a scene having a plurality of gametes, tracking each gamete across successive images, and determining attribute values for a gamete, and selecting the gamete. The attribute values can be determined using a model trained to predict the attribute values for the gamete based on a video.

Abstract: A computerized-method for a mucosal assessment of a mucosal disease in a Gastrointestinal Tract (GIT) of a subject, including receiving a stream of images of at least a portion of the GIT, parsing the stream into a plurality of segments, wherein each segment corresponds to a region of the at least portion of the GIT, obtaining a set of values for each segment, wherein the set of values refers to the pathological involvement of the segment in the mucosal disease and to severity of mucosal manifestation of the mucosal disease in the segment, and based on said set of values for each segment, generating a representation indicating the location and severity of the mucosal manifestation of the mucosal disease in the entirety of the at least portion of the subject's GIT, thereby allowing to assess the condition of the mucosal disease in the at least portion of the GIT.

Abstract: A method for generating one or more safety-critical output values (y) of an entity, including determining at least one parameter (s) of the entity, whereby the parameter describes at least one state and/or at least one feature of the entity. At least one delimited value range (C(s)) for the parameter (s) is set. At least one measured value (x) for the determined parameter (s) by at least one sensor is ascertained. The measured value (x) from the sensor to at least one processor and/or at least one data storage unit is transmitted. At least one output value (y) is calculated using the processor from the measured value (x) by way of a software application including a neural network (NN) with dynamic restrictions which outputs the output value (y) within the set value range (C(s)) for the determined parameter (s).

Abstract: A method is disclosed for inspecting electrical components within a housing. The method may be useful for identifying dust, grime, corrosion, tree-like structures, edges and/or slots on electrical components. The method includes capturing two optical images of an electrical component and comparing the images. Variations in pixels between the two images may be used to generate warnings.

Abstract: An endoscope apparatus includes a display control system configured to calculate at least one index indicating a degree of abnormality of an object, according to a color included in an acquired object image, and to generate a display image in which the at least one index is identifiably displayed based on a predetermined threshold value that is set independently of the object image.

Abstract: A vehicle and a control method thereof are provided. The vehicle may include a camera configured to acquire a front image of the vehicle; a storage configured to store an outline image of a reference license plate, and store location information including a position of a front vehicle based on a size of the outline image of the reference license plate, and a controller configured to recognize a license plate included in the front image, and determine a position of the front vehicle based on the license plate and the location information.

Abstract: A method for manufacturing control of machining of workpieces in a manufacturing hall that includes providing a plurality of image acquisition devices configured to acquire image sequences of allocated observation areas, identifying an object to be tracked in a first image of a first image sequence using at least one object feature, determining positions of the object feature in images of subsequent image sequences, determining a current position of the object by localizing the object feature in a temporally current image of one of the image sequences, and assigning the position of the object feature in the temporally current image to a current position in the observation area of the image sequence that includes the temporally current image, and integrating the determined current position of the object into the manufacturing control of the hall.

Abstract: According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry acquires coordinate information of at least one detection position of a cerebrovascular lesion for three-dimensional MR image data relating to a head part, and generates a two-dimensional display image which visualize a part of or all of the at least one detection position based on the three-dimensional MR image data and the coordinate information.

Abstract: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated Password is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: The invention relates to a localization microscopy method for localizing signal sources. Here, at least once for each pixel of a detector, values of an error parameter are ascertained and stored in a calibration data record in a manner assigned to the relevant pixel. Captured image data are used to identify regions of origin of signal sources and fit a point spread function to the pixel values of the respective regions of origin. The respective signal source is localized on the basis of the point spread function. The pixel-specific error parameter of each pixel can be compared to a threshold. If the threshold is exceeded, these pixels are either ignored or replaced by means of interpolation when fitting the point spread function. In addition or as an alternative thereto, the real noise performance of the pixels is ascertained and corrected on the basis of derived pixel-specific error parameters.

Abstract: Disclosed subject matter relates to a field of vehicle navigation system that performs a method for navigating an autonomous vehicle at an intersection of roads. An intersection management system may receive sensor data including at least one of depth of an object, images and a video of environment surrounding the autonomous vehicle. Further, traffic police and auxiliary objects associated with each traffic police are detected from plurality of objects of interest present in the images, when the autonomous vehicle is within a predefined distance from an intersection of roads. Thereafter, a correlation matrix comprising inferred data related to each traffic police and the auxiliary objects may be generated. Based on the correlation matrix, the video and the images, a gesture of the traffic police may be determined accurately. Finally, navigation information may be determined based on the correlation matrix and determined gesture, for navigating the autonomous vehicle.

Abstract: An image processing system may include a processor and an associated memory configured to store training data that includes training geospatial images. Each training geospatial image may include pixels. The processor may be configured to operate a training model to identify a given feature from each of the training geospatial images, and to iteratively generate a probability distribution function based upon a number of pixels corresponding to the given feature and also based upon a bias factor being reduced with each iteration.

Abstract: Embodiments of the present disclosure provides a method and apparatus for constructing a map. The method may include: determining pose information of each panoramic image frame from a panoramic image sequence of a target area, and determining a perspective image sequence from each panoramic image frame; determining a feature track corresponding to the panoramic image sequence based on perspective image sequences corresponding to adjacent panoramic image frames; and constructing a visual map of the target area based on the feature track and the pose information of each panoramic image frame.

Abstract: A dimensional measuring device includes an overview camera and a triangulation scanner. A six-DOF tracking device tracks the dimensional measuring device as the triangulation scanner measures three-dimensional (3D) coordinates on an exterior of the object. Cardinal points identified by the overview camera are used to register in a common frame of reference 3D coordinates measured by the triangulation scanner on the interior and exterior of the object.

Abstract: A dynamic analysis system includes a hardware processor and an output device. The hardware processor obtains a cycle of temporal change in a feature amount relevant to a function to be diagnosed from each of dynamic images obtained by imaging of a dynamic state of a living body with radiation. The hardware processor further adjusts the obtained cycle, thereby generating a plurality of cycle-adjusted data having cycles of the temporal change in the feature amount being equal to one another. The hardware processor further generates difference information at each phase in the plurality of cycle-adjusted data. The output device outputs the difference information.

Abstract: Method for setting up a tyre checking apparatus, said apparatus (1) comprising at least: a support base (34) for a tyre (2); a first acquisition device (430) and a second acquisition device (43a) for acquiring images representative of said tyre (2) positioned on said support base (34); a first robotic member (40a) for moving said second acquisition device (43a). Said method comprises: providing a setup device (100) comprising: a first wall (110) having first predefined shapes (F1); a second wall (120) having second predefined shapes (F2), said second wall (120) being substantially parallel and non-coplanar to said first wall (110); a top surface (130); a central reference (140) arranged on said top surface (130). Said method also comprises: executing at least one of a first set-up and a second set-up.

Abstract: Systems and methods for identifying an object and presenting additional information about the identified object are provided. The techniques of the present invention can allow the user to specify modes to help with identifying objects. Furthermore, the additional information can be provided with different levels of detail depending on user selection. Apparatus for presenting a user with a log of the identified objects is also provided. The user can customize the log by, for example, creating a multi-media album.

Abstract: In relation to the field of vehicle navigation, we describe a method of determining a position of a subject (such as a vehicle, platform or target), comprising the steps of obtaining and storing an object dataset comprising object data indicative of one or more objects in an environment, including an indication of object parameters associated with the or each object, the object parameters including one or more of location, orientation, one or more dimensions, and a type associated with the object, obtaining environment data indicative of a region of the environment from a sensor associated with the subject, determining the presence of an observed object in the environment data, including determining one or more equivalent observed object parameters associated with the observed object, and determining the position of the subject based on a comparison of the observed object parameters with the equivalent object parameters of the objects in the object dataset.

Abstract: The present disclosure relates to a target tracking method, device, system, and non-transitory computer readable storage medium. The method includes: performing target detection on a current frame image to determine an area where a current target is located; extracting a current feature vector and a current position information of the area where the current target is located; acquiring a historical feature vector and a historical position information of an area where each historical target is located in one or more historical frame images; determining a position difference between the current target and the each historical target according to the current position information and each historical position information; determining a feature difference between the current target and the each historical target according to the current feature vector and each historical feature vector; and determining a historical target that is the same target as the current target.

Abstract: An method according to an embodiment divides k-space data into a k-space central segment and a k-space peripheral segment by segment. The method acquires the k-space central segment in a first time interval and acquires the k-space peripheral segment in a second time interval different from the first time interval. The method reconstructs an MR (Magnetic Resonance) image from k-space data obtained by combining data on the acquired k-space central segment and data on the acquired k-space peripheral segment. Furthermore, the first time interval includes a plurality of cardiac cycles. The k-space central segment is repeatedly acquired over the cardiac cycles. As a central segment of k-space data used to reconstruct the MR image, data in a cardiac cycle less affected by an arrhythmia among the cardiac cycles is selected.