Abstract: New authentication features are proposed that are visible, can be authenticated with a mobile equipment and yet are challenging to counterfeit. In a possible embodiment, the surface of the authentication feature may have three-dimensional characteristics, which can be recognized by a handheld camera, such as a smartphone camera, while it cannot be easily reproduced by a simple scan and print procedure. In a further possible embodiment, at least two different viewpoints of the authentication feature may be acquired using a smartphone camera and the resulting images may be analyzed using the smartphone processor to identify the three-dimensional characteristics of the authentication feature. The manufacturing of the feature may be performed at a low cost by embossing the three dimensional structure on a surface. The authentication feature may be carried by a self-adhesive label or directly embedded on the product packaging.

Abstract: When performing inspection of a tip of a suction nozzle, the tip of the suction nozzle is imaged, and an opening of the tip of the suction nozzle is identified based on the image data. With the image based on the image data, locations with less than a set brightness level inside a location with the set brightness level and greater is identified as the opening. The identified opening is divided into four regions by boundary lines, and the area of the opening is calculated for each of the regions. Based on the areas calculated for each region, it is determined whether the suction nozzle is good. By determining whether the suction nozzle is good based on the area of the opening for each region, it is possible to reliably determine whether the suction nozzle is good.

Abstract: Methods, systems, and programming for identifying a person are presented. In one example, a first set of candidates is determined based on a fingerprint image acquired from a finger of the person. A second set of candidates is determined based on a finger vein image acquired from the finger. The person is recognized based on the first and/or second set of candidates.

Abstract: Systems and methods for identifying semantically and/or visually related information among a set of content items, such content items that include similar concepts or that have similar visual aspects, are disclosed. The disclosed techniques provide tools for identifying related information among various content items, such as text pages and documents, presentation slides and slide decks, etc. The disclosed techniques provide improved methods for searching among content items, organizing content items into categories, and pruning redundant content. Furthermore, the disclosed techniques provide improvements to computation of various metrics, including usage, performance, and impact metrics.

Abstract: Methods, systems, and programming for user identification are presented. In one example, a system for acquiring biometric information is disclosed. The system comprises a housing including a surface for a person to place a finger thereon. The system also comprises a sensor, a first image acquisition portion, and a second image acquisition portion. The sensor is configured for sensing presence of the finger when the person places the finger on the surface. The first image acquisition portion is configured for acquiring a fingerprint image of the finger placed on the surface. The second image acquisition portion is configured for acquiring a finger vein image of the finger placed on the surface. The first and second image acquisition portions acquire their respective images at different times.

Abstract: One variation of a method for managing parking within a parking structure includes: after detecting a license plate number on a vehicle in an image captured by an entry camera unit arranged near an entry of the parking structure, labeling the license plate as unverified in a data log associated with the parking structure; in response to absence of validation of the license plate within a grace period after entry of the vehicle, relabeling the license plate as in-violation in the data log; in response to detecting the license plate in an image captured by a mobile enforcement unit moving through the parking structure, querying the data log for a status of the license plate; and, in response to the license plate labeled as in-violation in the data log, serving a prompt to an enforcement personnel to issue a citation to a vehicle carrying the license plate.

Abstract: A text input method based on gesture recognition, comprising: collecting image information containing a target object; determining the target object according to the image information, and acquiring a writing surface and a movement trace of the target object; extracting the movement trace of the target object in the writing surface as a writing trace and outputting same; and performing character recognition according to the writing trace, and outputting a character recognition result.

Abstract: Embodiments describing an approach to evaluate text and image consistency. Receiving one or more images. Receiving one or more text documents. Identifying relevant text in the one or more text documents. Determining the consistency between the one or more images and the one or more text documents. Creating one or more image and text consistency scores based on the determined consistency between the one or more images and the one or more text documents, and outputting the one or more image and text consistency scores for evaluating text and image consistency.

Abstract: Tracking units for facial features with advanced training for natural rendering of human faces in real-time are provided. An example device receives a video stream, and upon detecting a visual face, selects a 3D model from a comprehensive set of head orientation classes. The device determines modifications to the selected 3D model to describe the face, then projects a 2D model of tracking points of facial features based on the 3D model, and controls, actuates, or animates hardware based on the facial features tracking points. The device can switch among an example comprehensive set of 35 different head orientation classes for each video frame, based on suggestions computed from a previous video frame or from yaw and pitch angles of the visual head orientation. Each class of the comprehensive set is trained separately based on a respective collection of automatically marked images for that head orientation class.

Abstract: The present invention provides a contact determination device, control device, contact determination system, contact determination method, and contact determination program. This contact determination device acquires position information and/or posture information for a target person. Further, the state of movement of a part to be calculated in the body of the target person is calculated on the basis of acquired movement information and a body model relating to the shape of the body of the target person, said body model having been recorded in advance. Meanwhile, an electrical change is detected. Then, the contact determination device determines the state of contact between the target person and the object to be controlled on the basis of the detected electrical change and the state of movement of the part to be calculated in the body of the target person.

Abstract: A biometric device includes a substrate, an image sensor, at least one infrared light emitting diode (IR LED), a supporting structure and an optical layer. The image sensor is disposed on the substrate. The at least one IR LED is disposed on the substrate. The supporting structure is disposed on the substrate and located between the image sensor and the at least one infrared light emitting diode. The optical layer is disposed on the supporting structure, covers the image sensor, and includes a coded pattern.

Abstract: A method for scanning for borders in an image represented by pixels, the method including a first operation comprising: estimating an attribute for each of a first set of two adjacent pixel positions in the image; assessing whether a predetermined binary condition differs in respect of the two pixel positions, and if so determining that a border is present in the part of the image represented by pixels at those positions; and if a border is determined to be present in that part of the image, estimating the direction of the border as being perpendicular to a line joining the positions of the two pixels; and initiating tracing the border in that direction.

Abstract: A surveillance camera system and method is disclosed. The system includes one or more surveillance cameras that capture images of scenes, and one or more calibration systems that automatically generate ground planes from the captured images from the surveillance cameras. Foreground objects in the scenes are then analyzed against the ground planes to determine whether the ground planes may require updating and/or recalculation.

Abstract: An image processing system includes: a central processing unit (CPU); a field programmable gate array (FPGA); a storage in which a library including plural pieces of image processing executed by the CPU or the FPGA is stored; an operation unit configured to receive an operation to select at least one piece of image processing from the library and an operation to designate execution order with respect to each piece of selection target image processing selected through the selection operation; an estimator configured to estimate an execution time in each combination of execution subjects with respect to each piece of selection target image processing when the CPU or the FPGA processes each piece of selection target image processing according to the execution order; a specification unit configured to specify the combination of the execution subjects having the relatively short execution time; and a display configured to display the specified.

Abstract: The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

Abstract: A cosmetic information providing system includes a first acquisition unit that acquires a first image 311 representing a face on which makeup with a first color has been performed, a determination unit that determines a cosmetic corresponding to the first color by analyzing the first image 311 acquired by the first acquisition unit, and an output unit that outputs information for identifying the determined cosmetic.

Abstract: A change degree deriving apparatus includes a receiving unit and a deriving unit. The receiving unit is configured to receive first image data of an object including an achromatic color and a first color and reference image data of the object. The first image data relates to the first color. The reference image data serves as a reference. The deriving unit is configured to derive a change degree of the object from a first difference based on the first image data and the reference image data received by the receiving unit. The first difference is a difference between the first image data and the reference image data, which occurs at a chromatic color portion when a portion corresponding to the achromatic color is set as a reference.

Abstract: Image modification using detected symmetry is described. In example implementations, an image modification module detects multiple local symmetries in an original image by discovering repeated correspondences that are each related by a transformation. The transformation can include a translation, a rotation, a reflection, a scaling, or a combination thereof. Each repeated correspondence includes three patches that are similar to one another and are respectively defined by three pixels of the original image. The image modification module generates a global symmetry of the original image by analyzing an applicability to the multiple local symmetries of multiple candidate homographies contributed by the multiple local symmetries. The image modification module associates individual pixels of the original image with a global symmetry indicator to produce a global symmetry association map.

Abstract: The present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying images of occupants inside a vehicle by comparing current image feature data to previously classified image features.

Abstract: The disclosure includes a system and method for distinguishing between stock keeping units of similar appearance that vary in size. An image recognition application receives an image depicting a plurality of items, the image including a reference marker with a known physical dimension. The image recognition application performs image recognition to identify an item in the image and a region of interest for the identified image. The image recognition application further determines a pixel-to-physical dimension ratio using the dimension of a region of interest of the reference marker and the known physical dimension of the reference marker. Finally, the image recognition application determines a stock keeping unit identifier of the identified item in the image based on the pixel-to-physical dimension ratio and a dimension of the region of interest of the identified item.