The present invention relates to a method to generate a slap/fingers foreground mask to be used for subsequent image processing of fingerprints on an image acquired using a contactless fingerprint reader having at least a flash light, said method comprising the following steps: acquisition of two images of the slap/fingers in a contactless position in vicinity of the reader, one image taken with flash light on and one image taken without flash light, calculation of a difference map between the image acquired with flash light and the image acquired without flash light, calculation of an adaptive binarization threshold for each pixel of the image, the threshold for each pixel being the corresponding value in the difference map, to which is subtracted this corresponding value multiplied by a corresponding flashlight compensation factor value determined in a flashlight compensation factor map using an image of a non-reflective blank target acquired with flash light and to which is added this corresponding value multiplied by a corresponding background enhancement factor value determined in a background enhancement factor map using the image acquired without flash light, binarization of the difference map by attributing a first value to pixels where the adaptive binarization threshold value is higher than the corresponding value in the difference map and a second value to pixels where the adaptive binarization threshold value is lower than the corresponding value in the difference map, the binarized image being the slap/fingers foreground mask.

A scanning device that has a housing including an opaque wall configured to position an imaging device (e.g., still or video camera) to capture an image of a tangible object, a staging area (e.g., transparent wall, opening) opposite of the opaque wall, and an opaque body extending between the opaque wall and the staging area. The scanning device has a chamber that enables the imaging device to capture the image relative to the staging area. A focal distance from the imaging device to the staging area enables capturing a physical characteristic (e.g., a color, size, shape, texture, pattern) of the tangible object in the image at a resolution that enables ascertaining an attribute (e.g., authenticity, purity, or quality) of the tangible object. The opaque body can have an expandable structure to increases or decrease a focal distance to the tangible object.

An image processing device includes a stitching processing unit that composites composition source images generated from captured images under a preset processing condition to generate a composite image, a screen generation unit that generates a screen and outputs the composite image to a display input device, a touch operation determination unit that determines a camera image region to be adjusted based on a detection result of a touch operation on the screen and determines an adjustment item according to an operation mode of the touch operation, and a processing condition setting unit that sets a temporary processing condition related to the camera image region to be adjusted. The stitching processing unit generates the composition source image from the captured image of the camera corresponding to the camera image region to be adjusted under the temporary processing condition and updates the composite image by compositing the composition source images.

A mat for an image pickup apparatus, where the image pickup apparatus operates to recognize a real object, the mat includes: a play field that defines a bottom region of a space in which the real object is placed; and a calibration chart located in the space and having a plurality of color regions in which respective luminances thereof differ from one another, where: the image pickup apparatus: (i) obtains data of a picked up image of the space in which the real object is located; and (ii) evaluates the picked up image and adjusts at least one of an image pickup condition in which the picked up image of the space is taken, and a processing condition in which the data are analyzed to recognize the real object, and at least one of the image pickup condition and the processing condition are adjusted based on color information in the data of the picked up image resulting from the plurality of color regions of the calibration chart.

An auxiliary filtering device for face recognition is provided. The auxiliary filtering device is used to exclude an ineligible object to be identified according to the relative relationship between object distances and image sizes, the image variation with time and/or the feature difference between images captured by different cameras to prevent the possibility of cracking the face recognition by using a photo or a video.

Provided are an image presentation system, an image presentation method, a program, and a recording medium that perform a desired process by designating a specific image by each participant from plural images captured by plural participants who participate in an event and a companion. In the image presentation system, the image presentation method, the program, and the recording medium, plural images captured by participants in an event and a companion are acquired and stored, the images are analyzed, analysis tag information is assigned to each image on the basis of an analysis result of each image, designation tag information that is designated by each participant is acquired as a command of each participant, an image to which analysis tag information that matches the designation tag information designated by each participant is assigned from the plural images is extracted as an extraction image for each participant, and the extraction image for each participant is presented to each participant.

An apparatus includes a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to users of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect users of the vehicle based on the objects detected in the video frames, determine a comfort profile for the users and select a reaction to adjust vehicle components according to the comfort profile of the detected users. The comfort profile may be determined in response to characteristics of the users. The characteristics of the users may be determined by performing the operations on each of the users.

An information processing device performs processing on document image data including first image data to undergo character recognition processing and second image data not to undergo character recognition processing. The information processing device includes a detecting section which detects the first image data, an extracting section which extracts the first image data, and a processing section. The processing section includes a counting section which counts first images, a determining section which determines whether the number of the first images exceeds a threshold, a first performing section which performs first processing when the threshold is exceeded, and a second performing section which performs second processing when the threshold is not exceeded. Through the first processing, the second image is masked with a background color of the document image and character recognition is then performed on the document image. Through the second processing, character recognition is performed on the first images.

An information search system for searching detection algorithm information of spectral data necessary for determining a target event from a photographed subject includes a first relational database configured to store, in advance, a first relevance index having at least three levels between each target event of the subject and the detection algorithm information, a target event input unit configured to receive input information regarding a target event of the subject to be newly determined, and a search unit configured to search at least one piece of detection algorithm information on the basis of information regarding the target event received by the target event input unit by referencing the first relevance index stored in the first relational database.

In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.