A method and apparatus for whole body bone removal and vasculature visualization in medical image data, such as computed tomography angiography (CTA) scans, is disclosed. Bone structures are segmented in the a 3D medical image, resulting in a bone mask of the 3D medical image. Vessel structures are segmented in the 3D medical image, resulting in a vessel mask of the 3D medical image. The bone mask and the vessel mask are refined by fusing information from the bone mask and the vessel mask. Bone voxels are removed from the 3D medical image using the refined bone mask, in order to generate a visualization of the vessel structures in the 3D medical image.

The disclosure discloses a method and device for locating an image edge in a natural background. The method comprises: extracting a central color feature serving as a comparison standard for an image located in a natural background; comparing with the central color feature, and extracting multiple candidate points for each edge of the image according to a comparison result; grouping the multiple candidate points corresponding to the edge according to a distance and/or a direction, so as to obtain multiple candidate point groups; fitting a corresponding fit line by using a candidate point in each candidate point group; and selecting a fit line close to most candidate points of the edge, and locating the fit line as the edge.

A method and apparatus for whole body bone removal and vasculature visualization in medical image data, such as computed tomography angiography (CTA) scans, is disclosed. Bone structures are segmented in the a 3D medical image, resulting in a bone mask of the 3D medical image. Vessel structures are segmented in the 3D medical image, resulting in a vessel mask of the 3D medical image. The bone mask and the vessel mask are refined by fusing information from the bone mask and the vessel mask. Bone voxels are removed from the 3D medical image using the refined bone mask, in order to generate a visualization of the vessel structures in the 3D medical image.

Aspects of the disclosure relate to a dynamic distance estimation output platform that utilizes improved computer vision and perspective transformation techniques to determine vehicle proximities from video footage. A computing platform may receive, from a visible light camera located in a first vehicle, a video output showing a second vehicle that is in front of the first vehicle. The computing platform may determine a longitudinal distance between the first vehicle and the second vehicle by determining an orthogonal distance between a center-of-projection corresponding to the visible light camera, and an intersection of a backside plane of the second vehicle and ground below the second vehicle. The computing platform may send, to an autonomous vehicle control system, a distance estimation output corresponding to the longitudinal distance, which may cause the autonomous vehicle control system to perform vehicle control actions.

A method for recognizing a finger, including: sensing a recognized object which is placed on a fingerprint sensing device to generate a first frame; selecting at least one block from the frame, wherein each of the blocks comprises a plurality of block groups; computing a sequence of characteristic values of each of the block groups according to a plurality of Haar-like features; and respectively substituting the sequences of characteristic values of the block groups into a polynomial to determine whether the recognized object is a finger.

A system and method having a number of technological elements, one of which being a controller, which causes improvements to the controller and creates significantly more than the original default controller functionality. The elements collaborating to cause the controller to operate a camera to record images of a visual content; store the recorded images to a memory, the recorded images being in a digital form as digital images; perform a visual recognition module to identify at least one targeted object within at least one digital image; produce the identification results of the visual recognition module; compare the identification results to the vehicle-reservation information; generate reservation information derived from the comparison outcome of the identification results to the vehicle-reservation information; and operate the display to exhibit the reservation information.

Example systems and methods to transform events and/or mood associated with playing media into lighting effects are disclosed herein. An example apparatus includes a content identifier to identify content presented via a media presentation device based on a fingerprint associated with the content and derive metadata from the identified content. The example apparatus includes a content driven analyzer to determine a light effect to be produced by a light-generating device based on the metadata, generate an instruction for the light-generating device to produce the light effect, and transmit the instruction to the light-generating device during presentation of the content.

An apparatus and a method for controlling a stop of a vehicle may include an information collection system collecting at least one of road information, position information, and driving information; and a control system stopping the vehicle on a basis of the information collected by the information collection system in a case of emergency while the vehicle is running on a road.

An image processing device includes a data processing unit that processes data of a face image which is captured to include a face. The data processing unit generates an edge image by filtering the face image to detect an edge in a scanning direction, extracts a sampling value as the information regarding a gradient magnitude and whether the gradient is positive or negative from each of positions in the edge image corresponding to a plurality of points constituting the sampling curve, calculates a likelihood with respect to the sampling curve by setting points having a positive gradient and a negative gradient as likelihood evaluation targets in a first point group and a second point group, and detects a sampling curve having a maximum likelihood as a pupil or an iris among a plurality of sampling curves.

Systems and methods for realizing practical applications of high speed digital image correlation (DIC) for dynamic quantities of interest are provided. In particular, a series of images are captured for a component of interest in which a non-filtered sensor and an analog low-pass filtered sensor are included within the region of interest for the series of images. Displacement signals are obtained for the component of interest, the non-filtered sensor, and the analog low-pass filtered sensor by applying digital image correlation processing to the series of images, which may also be wavelet filtered. Dynamic quantities of interest may be generated and derived from the displacement signals after having been wavelet filtered. Such dynamic quantities of interest based on the wavelet filtered DIC-derived displacement signal may be compared to sensor-derived dynamic quantities of interest to determine if aliasing is or is likely to be present.