An image processing apparatus includes: a receiving unit configured to receive an addition instruction for adding a page to album data including a plurality of pages; an image obtaining unit configured to obtain a user selection image as an image to be arranged in the page to be added in response to the addition instruction, the user selection image being selected by a user; a first analysis information obtaining unit configured to obtain analysis information of the user selection image; and a selecting unit configured to select an image to be arranged in the added page other than the user selection image, based on the analysis information of the user selection image.

Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.

Image processing systems and methods are provided for authorizing the performance at a computer terminal of an age-restricted activity. An estimated human age is determined based on human characteristics of a structure detected in an image captured at the computer terminal. It is determined whether the structure exhibits at least one liveness characteristic indicating the human characteristics from which the estimated human age is determined have been captured directly from a living human at the computer terminal. A positive determination is made as to whether performance of the age-restricted activity is authorized if the estimated human age meets a predetermined age requirement and the structure is determined to exhibit at least one liveness characteristic, and a negative determination is made if: i) the estimated human age does not meet the predetermined age requirement; and/or ii) the structure is not determined to exhibit at least one liveness characteristic.

An electronic apparatus according to the present invention, includes at least one memory and at least one processor which function as: an acquisition unit configured to acquire positional information indicating a position of an object in a captured image; a display control unit configured to perform control such that an item having a length in a first direction, which corresponds to a range in a depth direction in the image, is displayed in a display, and a graphic indicating presence of the object is displayed in association with a position corresponding to the positional information in the item; a reception unit configured to be able to receive an operation of specifying a set range which is at least part of the item; and a processing unit configured to perform predetermined processing based on the set range.

Devices, methods, and computer-readable media are disclosed, describing an adaptive, subject-aware approach for image bracket selection and fusion, e.g., to generate high quality images in a wide variety of capturing conditions, including low light conditions. An incoming image stream may be obtained from an image capture device, comprising images captured using differing default exposure values, e.g., according to a predetermined pattern. When a capture request is received, it may be detected whether one or more human or animal subjects are present in the incoming image stream. If a subject is detected, an exposure time of one or more images selected from the incoming image stream may be reduced relative to its default exposure time. Prior to the fusion operation, one of the selected images may be designated a reference image for the fusion operation based, at least in part, on a sharpness score and/or a blink score of the image.

In an embodiment, a method (100) is described. The method comprises obtaining (102) a three-dimensional representation of a body surface. The method further comprises obtaining illumination information for the three-dimensional representation that is indicative of an orientation of the body surface relative to a reference axis. The method further comprises determining illumination compensation information (104). The illumination compensation information is used (106) to compensate for an illumination variation apparent from the illumination information in an image of the body surface.

A method for training a neural network, including: determining a neural network; training the neural network at a first learning rate according to a first optimization mode, where the first learning rate is updated each time the neural network is trained; mapping the first learning rate of the first optimization mode to a second learning rate of a second optimization mode in the same vector space; determining the second learning rate satisfies a preset update condition; and continuing to train the neural network at the second learning rate according to the second optimization mode.

In implementations of the subject matter as described herein, there is provided a method for forgery detection of a face image. Subsequent to inputting a face image, it is detected whether a blending boundary due to the blend of different images exists in the face image, and then a corresponding grayscale image is generated based on a result of the detection, where the generated grayscale image can reveal whether the input face image is formed by blending different images. If a visible boundary corresponding to the blending boundary exists in the generated grayscale image, it indicates that the face image is a forged image; on the contrary, if the visible boundary does not exist in the generated grayscale image, it indicates that the face image is a real image.

An image capturing apparatus acquires successive images in a time-series manner and performs image processing thereon. The image capturing apparatus detects a first region (for example, a face) of a subject from an image, and detects a second region (for example, a torso) of a subject from an image. The image capturing apparatus performs processing for searching for a detection result which is obtained from a current image with use of a detection result obtained from a previously acquired image and classifying detection results each satisfying a condition according to subject. In the search processing, identical-region search, which uses detection results of an identical region between the previously acquired image and the current image, is performed in preference to different-region search, which uses detection results of different regions between the previously acquired image and the current image.

The present invention provides a SoC including a recognition circuit and a processing circuit. The recognition circuit is configured to obtain image data from an image capturing device, and perform a recognition operation on the image data to generate a recognition result. The processing circuit is coupled to the recognition circuit, and is configured to determine a ROI in the image data according to the recognition result, perform image enhancement operation on the ROI to generate an enhanced region, and combine the enhanced region with the image data to generate processed image data.