The geometry measurement apparatus includes: an image acquisition part that acquires a plurality of captured images generated by imaging an object to be measured, onto which a plurality of respectively different projection patterns are sequentially projected; a quantization part that generates a quantization value of a luminance value for each pixel in the plurality of captured images by comparing the luminance value with a predetermined reference value; a selection part that selects, based on the relationship between the reference value and the luminance value for a plurality of pixels having the same coordinates in the plurality of captured images, a quantization value to be used for identifying the geometry of the object to be measured, from among a plurality of quantization values corresponding to the plurality of captured images; and a geometry identification part that identifies the geometry of the object to be measured based on the quantization value selected by the selection part.

Various embodiments of the present technology may comprise a method and apparatus for an on-vehicle camera system capable of calibrating the camera's orientation (i.e. pitch, yaw, roll angles) in relation to the vehicle's coordinate system utilizing normally-encountered imagery. The method and apparatus may comprise utilizing an image processor to detect features from pixel data of image frames, match features, provide an estimated orientation, and validate the orientation. A system utilizing the method and apparatus may transmit the camera's orientation with respect to the vehicle coordinate system to a peripheral system.

With respect to a subject included in an image, the illuminating condition by an ambient light source in an environment where the image was captured is estimated, and based on the estimation result, the effect of a virtual light source that was non-existent at the time of image capture is computed. More specifically, the effect of the virtual light source is computed using an illumination direction of the virtual light source and the reflective characteristics of the subject illuminated by the virtual light source, which have been determined based on the estimation result, and an image derived from addition of the effect of the virtual light source is output.

A digital image and a text string is received. The text string can be processed to identify at least a time frame and determine whether the time frame is a future time frame or a past time frame. How at least one element of the first digital image will change or has changed during the time frame can be predicted. At least one reference digital image can be generated, the reference digital image including at least one change to the at least one element corresponding to how the at least one element will change or has changed during the time frame. The reference digital image to each of a plurality of other digital images. A correlation parameter can be assigned to each of the plurality of other digital images. A portion of the plurality of other digital images having highest correlation parameters can be output for presentation to a user.

A variation of scale-invariant feature transform (SIFT) based on pooling gradient orientations across different domain sizes, in addition to spatial locations. The resulting descriptor is called DSP-SIFT, and it outperforms other methods in wide-baseline matching benchmarks, including those based on convolutional neural networks, despite having the same dimension of SIFT and requiring no training. Problems of local representation of imaging data are also addressed as computation of minimal sufficient statistics that are invariant to nuisance variability induced by viewpoint and illumination. A sampling-based and a point-estimate based approximation of such representations are described.

A book detection apparatus detects a plurality of surface regions on the basis of three-dimensional measurement data that is obtained by a three-dimensional sensor and that falls within a search area, and determines, when a positional relationship between two surface regions among the plurality of surface regions satisfies a positional condition corresponding to a positional relationship between two opened pages of an opened book, the two surface regions as a book region that includes the book.

An image processing apparatus includes a generator configured to acquire a plurality of input images generated by image captures under a plurality of light source conditions in which positions of light sources for illuminating an object are different from one another, and to generate normal information on a surface of the object using information on a change of luminance information in the input image which depends on the light source condition, and an acquirer configured to acquire noise reduction process information as information used for a noise reduction process to the normal information or a process target image, using light source information as information on the light source in the image capture. The noise reduction process information contains information used to set an intensity of the noise reduction process.

An authentication method executed by a processor included in an electronic device, the authentication method includes setting a plurality of gaze points on a screen of the electronic device such that an order for the gaze points is determined; capturing a plurality of images of an eye at the gaze points, when the eye gazes at the gaze points according to the order; detecting an iris from each of the images of the eye; calculating an exposure amount of the iris in each of the images of the eye; and releasing restriction of operation on the electronic device, when it is determined that a pattern of the iris agrees with a previously registered template and the exposure amount of the iris agrees with a previously registered value.

Novel tools and techniques might provide for implementing image-based physiological status determination of users, and, in particular embodiments, for implementing physiological status determination of users based on marker-less motion-capture and generating appropriate remediation plans. In various embodiments, one or more cameras may be used to capture views of a user (e.g., an athlete, a person trying to live a healthy life, or the like) as the user is performing one or more set of motions, and the captured images may be overlaid with a skeletal framework that is compared with similar skeletal framework overlaid images for the same one or more sets of motions. The system can automatically determine a physical condition of the user or a probability that the user will suffer a physical condition based at least in part on an analysis of the comparison, which may be difficult or impossible to observe with the naked human eye.

Systems and methods, devices and software are described for use in image comparison such as required for medical planning such as in dental implantology or other applications that require registration of digital images. A method and system is described for automatically finding correspondences between two or more digital representations such as images of one or more 3D objects with an identical, partially identical or similar geometry. The method and system, devices and software have the advantage that although the different digital representations of the object may be influenced by either noise, or scatter, or occlusion, or clutter, or any combination of these, correspondence can be found.