A method for detecting bone structure includes allocating at least one bone portion from a bone image composed by pixels each including luminance value relating to bone structural parameter; aligning a major axis of principal axes of moment of inertia of the bone portion to a principal axis of Cartesian coordinate system; a cortical bone area of the bone portion intersecting at least one principal plane perpendicular to the principal axis, and each principal plane forming an outer and inner contour line of the cortical bone area; processing an analytic algorithm for the bone structural parameter; calculating distributed state of the bone structural parameter in each principal plane to obtain a distributed state of the bone structural parameter of the bone portion; and obtaining a distributed state of the bone structural parameter of the bone portion by assembling distributed state of the bone structural parameter of each bone portion.

Systems, computer program products, and techniques for detecting objects depicted in digital image data are disclosed, according to various exemplary embodiments. The inventive concepts uniquely utilize internal features to accomplish object detection, thereby avoiding reliance on detecting object edges and/or transitions between the object and other portions of the digital image data, e.g. background textures or other objects. The inventive concepts thus provide an improvement over conventional object detection since objects may be detected even when edges are obscured or not depicted in the digital image data. In one aspect, a computer-implemented method of detecting an object depicted in a digital image includes: detecting a plurality of identifying features of the object, wherein the plurality of identifying features are located internally with respect to the object; and projecting a location of one or more edges of the object based at least in part on the plurality of identifying features.

A system for and method of storing two two-dimensional objects on an information storage medium, the method comprising: acquiring a first two-dimensional object and a second, a first perimeter of the first two-dimensional object comprising a first perimeter portion and a second perimeter portion, and the second two-dimensional object comprising the second perimeter portion and a third perimeter portion; storing, on the information storage medium, the first perimeter as storing the first and the second perimeter portions; storing, on the information storage medium, the second perimeter as storing the third perimeter portion and storing a reference to the second perimeter portion.

A medical-image processing apparatus according to an embodiment includes processing circuitry. The processing circuit acquires an initial value of an outline corresponding vector that corresponds to an outline of a subject included in medical image data. The processing circuitry updates the outline corresponding vector based on a derivative that is acquired by differentiating a cost function with respect to the outline corresponding vector by the outline corresponding vector, and on the initial value of the outline corresponding vector.

Methods and apparatus are provided for determining quantization parameter predictors from a plurality of neighboring quantization parameters. An apparatus includes an encoder for encoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data. The quantization parameter predictor is determined using multiple quantization parameters from previously coded neighboring portions. A difference between the current quantization parameter and the quantization parameter predictor is encoded for signaling to a corresponding decoder.

Disclosed herein are systems and methods for persona identification using combined probability maps. An embodiment takes the form of a method that includes obtaining at least one frame of pixel data; processing the at least one frame of pixel data to generate a hair-identification probability map; and generating a persona image by extracting pixels from the at least one frame of pixel data based at least in part on the generated hair-identification probability map.

Shadow-grams are used for edge inspection and metrology of a stacked wafer. The system includes a light source that directs collimated light at an edge of the stacked wafer, a detector opposite the light source, and a controller connected to the detector. The stacked wafer can rotate with respect to the light source. The controller analyzes a shadow-gram image of the edge of the stacked wafer. Measurements of a silhouette of the stacked wafer in the shadow-gram image are compared to predetermined measurements. Multiple shadow-gram images at different points along the edge of the stacked wafer can be aggregated and analyzed.

Disclosed is an apparatus for generating a facial composite image, which includes: a database in which face image and partial feature image information is stored; a wireframe unit configured to apply a face wireframe to a basic face sketch image, the face wireframe applying an active weight to each intersecting point; a face composing unit configured to form a two-dimensional face model to which the wireframe is applied, by composing images selected from the database; and a model transforming unit configured to transform the two-dimensional face model according to a user input on the basis of the two-dimensional face model to which the wireframe is applied. Accordingly, a facial composite image with improved accuracy may be generated efficiently.

A feature image generation apparatus includes circuitry. The circuitry generates, on the basis of a processing target image in which an object appears, a first image showing the object, and generates, as a feature image showing a feature of the object, at least a part of a rotational composite image obtained by composition of a plurality of rotated images obtained by rotating the first image.

An invention for identifying a spatial location of an event within video image data is provided. Disclosed are embodiments for detecting an object and obtaining trajectory data of a trajectory of the object within the video image data from a sensor device; converting the trajectory data into a contour-coded compressed image; generating, based on the trajectory data, a searchable code that contains a set of locations traversed by the trajectory of the object within the video image; associating the searchable code with the contour-coded compressed image in a database; and returning, in response to a query having a selected location that corresponds a location of the set of locations in the searchable code, an image of the trajectory data corresponding to the object based on the contour-coded compressed image in the database.