An object recognition device to be mounted to a vehicle includes a cluster point group formation unit and an object recognition unit. The cluster point group formation unit is configured to form a cluster point group by executing clustering for a plurality of reflecting points. The object recognition unit recognizes the cluster point group as an object. The object recognition unit is configured to, in response to determining that an outer shape of an upper surface that is an outer shape of the recognized object viewed from the top has a concave section when viewed from a vehicle side, divide the cluster point group into a plurality of quasi-cluster point groups based on a position of the concave section and recognizes each of the plurality of quasi-cluster point groups as an object.

Information about a drug-containing vessel is determined by capturing image data of the curved surface of a cylindrical portion of a drug-containing vessel. The image data is unfurled from around the curved surface, binarised, and a template matching algorithm employed to determine that the label information comprises candidate information about the vessel and/or the drug.

A multiple-pattern fiducial for a heterogeneous imaging sensor system. The multiple-pattern fiducial includes a first pattern detectable by a first wavelength of electromagnetic energy, and a second pattern detectable by a second wavelength of electromagnetic energy.

New intra planar modes are introduced for predicting digital video data. As part of the new intra planar modes, various methods are offered for predicting a first sample within a prediction unit, where the first sample is needed for referencing to when processing the new intra planar modes. And once the first sample is successfully predicted, the new intra planar modes are able to predict a sample of video data within the prediction unit by processing a bi-linear interpolation of four previously reconstructed reference samples.

New intra planar modes are introduced for predicting digital video data. As part of the new intra planar modes, various methods are offered for predicting a first sample within a prediction unit, where the first sample is needed for referencing to when processing the new intra planar modes. And once the first sample is successfully predicted, the new intra planar modes are able to predict a sample of video data within the prediction unit by processing a bi-linear interpolation of four previously reconstructed reference samples.

An image captured by a camera can be processed by a scanning application to identify multiple regions within the image that are suitable for scanning. These regions can be detected and selected for scanning automatically. The captured regions for the single image can be stored as individual image content files.

An information processing apparatus includes a setting unit configured to set an imaging condition under which an imaging apparatus captures a video, a region determination unit configured to determine a detectable region in which a detection target is detectable in the video, based on the imaging condition, an acquisition unit configured to acquire a desired detection condition under which a user desires detection for the detection target to be executed, and a condition determination unit configured to determine a detection condition under which the detection target is detected from the video, based on the desired detection condition and the detectable region determined based on at least one imaging condition.

Digital image ordering based on object position and aesthetics is leveraged in a digital medium environment. According to various implementations, an image analysis system is implemented to identify visual objects in digital images and determine aesthetics attributes of the digital images. The digital images can then be arranged in way that prioritizes digital images that include relevant visual objects and that exhibit optimum visual aesthetics.

A detection unit detects a subject area that partially includes a subject to be detected in a shooting range. An obtainment unit obtains a plurality of defocus amounts corresponding to a plurality of ranging points inside a ranging area that includes the subject area. A categorization unit categorizes the ranging area into a plurality of partial areas based on the plurality of defocus amounts. Each of the plurality of partial areas corresponds to a different one of partial ranges in a range of the plurality of defocus amounts. A control unit performs shooting control based on the plurality of partial areas. The shooting control is performed so that a contribution of a partial area with a first subject degree is larger than a contribution of a partial area with a second subject degree that is lower than the first subject degree.

There is disclosed a non-transitory computer-readable recording medium having stored therein an information processing program for causing a computer to execute a process. The process includes: specifying a first region, a second region and a third region from a nondestructive inspection image, the first region corresponding to a recess-free shape, the second region corresponding to a detection target included in the recess-free shape, the third region corresponding to a reference object included in the recess-free shape; specifying a first straight line that divides the first region into two and that passes through the third region; obtaining two intersections of the first straight line and an outer circumference of the recess-free shape; specifying a second straight line that passes through a center point of the two intersections and that is orthogonal to the first straight line; and outputting information indicative of a position of the detection target in the nondestructive inspection image, using a coordinate system using the first straight line and the second straight line as axes.