Abstract: A controller controls operation of a forming machine capable of forming a workpiece. The controller includes: an object determination unit configured to determine an object other than the workpiece and the forming machine based on image data sensed by a sensor; a setting unit configured to set a plurality of determination areas based on a bolster shape of the forming machine included in the image data; a detection unit configured to detect entry of the object into each of the plurality of determination areas set by the setting unit; and a control unit configured to limit operation speed of the forming machine based on the determination area in which the entry of the object has been detected by the detection unit.

Abstract: A fingerprint recognition method includes receiving an input partial image corresponding to a partial image of a fingerprint of a first user; partitioning the input partial image into a plurality of blocks; performing a comparison operation based on the plurality of blocks and the enrolled partial images corresponding to partial images of an enrolled fingerprint; and recognizing the fingerprint of the first user based on a result of the comparison operation.

Abstract: The present disclosure relates to the field of anti-counterfeit protection of products. Specifically, the disclosure is directed to a composite security marking for a physical object, in particular to an anti-counterfeit product marking. In particular, without limitation, such composite security marking can be used in connection with or can form a component of a multi-component security system, in particular of an anti-counterfeit protection system, which is also disclosed herein as part of an overall solution for anti-counterfeit protection. The composite security marking comprises a physical unclonable function, PUF, and a representation of a digital signature or of a pointer indicating a location where said digital signature can be accessed. The digital signature digitally signs a hash value resulting from application of a predetermined cryptographic hash function to data representing a response generated by the PUF in reaction to a challenge of a predetermined challenge-response authentication scheme.

Abstract: Methods and systems for determining parameter(s) of a metrology process to be performed on a specimen are provided. One system includes one or more computer subsystems configured for automatically generating regions of interest (ROIs) to be measured during a metrology process performed for the specimen with the measurement subsystem based on a design for the specimen. The computer subsystem(s) are also configured for automatically determining parameter(s) of measurement(s) performed in first and second subsets of the ROIs during the metrology process with the measurement subsystem based on portions of the design for the specimen located in the first and second subsets of the ROIs, respectively. The parameter(s) of the measurement(s) performed in the first subset are determined separately and independently of the parameter(s) of the measurement(s) performed in the second subset.

Abstract: A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.

Abstract: A wall area estimation system generates an estimated wall area measurement report of a building. Included in the wall area measurement estimate report are multiple line drawings of a building having a roof. Two of the multiple line drawings are perspective views from an angle of view above the building. A first of the perspective views is substantially centered on a first substantially vertical exterior corner of the house that is approximately opposite of a second substantially vertical exterior corner of the house on which a second of the perspective views is substantially centered. The first and second of the perspective views include a line drawing of the roof that is transparent or translucent to show interior surfaces of the walls of the building in the first and second of the perspective views. The walls of the interior surfaces shown are shaded darker than the walls of the exterior.

Abstract: Systems and methods present adapted content for a visitor or visitors to a physical environment. A computing device in the physical environment produces a digital media input file associated with at least one visitor to the physical environment and determines a presence of a statistically negative neuro-efferent indicator in the digital media input file. The computing device then selects electronic presentation content based on whether the statistically negative neuro-efferent indicator is present in the digital media file, and provides the electronic presentation content to the physical environment. The electronic presentation content can be selected based on an analysis of an existing library of media selections, either in advance, or at the time of presentation.

Abstract: A hybrid compression method for compressing images is provided. The method identifies a first set of image components to be compressed by a lossy compression format and a second set of image components to be compressed by a lossless compression format. The method then encodes the first set of image components according to the lossy compression format and encodes the second set of image components according to the lossless compression format. The method then generates a compressed structure that includes the lossy-compressed first set of image components and the lossless-compressed second set of image components.

Abstract: A fingerprint module, comprising: a first part comprising a sensor, and a cover glass disposed on the sensor; and a second part comprising a light guide plate, and a LED disposed aside the light guide plate, wherein the first part and the second part are separate. More degree of freedom of the fingerprint module achieved in assembly.

Abstract: An image capture apparatus includes a skin map generation processing unit and an image composition unit. The skin map generation processing unit detects a skin color area in an image. The skin map generation processing unit detects a saturated area of high value and low saturation in the image. The image composition unit executes processing of correcting the skin color area detected by the skin map generation processing unit by using the saturated area detected by the skin map generation processing unit.

Abstract: A structural analysis computing device for determining structural characteristics of an object pictured in a three-dimensional (3D) image may be provided. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image of the object, and at least one processor in communication with the memory and the object sensor. The processor may be configured to access the 3D image including the object, automatically determine a first plurality of measurements of the object from the 3D image, and display the 3D image on the user interface. The processor may be further configured to generate a data file including the 3D image and the first plurality of measurements, and store the data file within the memory. The processor may also be configured to transmit the data file to an insurance server computing device for generation of an associated insurance claim form.

Abstract: Systems and methods for autonomously generating one or more images are disclosed. According to at least one embodiment, a method of autonomously generating one or more images includes: receiving, by a content server, an image having one or more characteristics rendering the image suitable for display at a device of a first breakpoint type; in response to receiving the image, autonomously deriving, by the content server, at least one image from the received image, the at least one derived image having one or more characteristics optimized for display at a device of a second breakpoint type different from the first breakpoint type; and controlling, by the content server, a display to display the received image and the at least one derived image.

Abstract: Systems and methods for selecting representative photos for a photo album are described. An example computing device may include a display, a logic device, and a storage device storing instructions executable by the logic device to, for each known individual recognized in one or more photos of the album, determine an affinity score for that known individual indicating a connection of that known individual to a) a user of the computing device and b) a context corresponding to the album. The instructions may be further executable to select one or more known individuals based on the affinity score to be included in a subset of the known individuals recognized in one or more photos of the album, and select a representative photo of each of the subset of the known individuals to be included in one or more of a highlight photoset and a cover photo for the album.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain a set of transformations of an object being tracked, the set of transformations corresponding to a world coordinate space; apply a smoothing to the set of transformations; translate the set of transformations to an object tracking coordinate space; and augment a representation of the object based at least in part on the translated set of transformations.

Abstract: Disclosed herein is a method for generating a composite image, including using at least one hardware processor for obtaining at least two images; obtaining composite spatial data that identifies contiguity characteristics of each image of the at least two images; generating a template of the composite image, wherein the template provides a predetermined arrangement of the sections according to the contiguity characteristics identified in the image; sectioning the at least two images into predetermined number of sections according to the template; splicing the sections together according to the template; generating the composite image from the sections of the at least two images; wherein presence of at least one contiguity characteristic in each image generates an composite image that is ambiguous that can trigger an alternating switch in perception and awareness of each image scene and by establishing figure and ground relationship to create a depth illusion.

Abstract: At least one model generation apparatus that generates a model representing a feature of specific data belonging to a specific category includes a selection unit configured to select, based on a degree of conformity between each of a plurality of pieces of specific data belonging to the specific category and each of a plurality of pieces of reference data included in a previously-set reference data group, at least one piece of reference data from the reference data group with respect to each piece of specific data, a parameter specifying unit configured to specify a parameter corresponding to the reference data selected by the selection unit with respect to each of the plurality of pieces of specific data, and a model generation unit configured to generate, as a model of the specific data, a parameter model indicating a distribution of at least one parameter specified by the parameter specifying unit.

Abstract: Systems, devices, and methods are described for generating dense depth estimates, and confidence values associated with such depth estimates, from image data. A machine learning algorithm can be trained using image data and associated depth values captured by one or more LIDAR sensors providing a ground truth. When the algorithm is deployed in a machine vision system, image data and/or depth data can be used to determine dense depth estimates for all pixels of the image data, as well as confidence values for each depth estimate. Such confidence values may be indicative of how confident the machine learned algorithm is of the associated depth estimate.

Abstract: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Abstract: Systems and methods of the present disclosure can facilitate determining a three-dimensional surface representation of an object. In some embodiments, the system includes a computer, a calibration module, which is configured to determine a camera geometry of a set of cameras, and an imaging module, which is configured to capture spatial images using the cameras. The computer is configured to determine epipolar lines in the spatial images, transform the spatial images with a collineation transformation, determine second derivative spatial images with a second derivative filter, construct epipolar plane edge images based on zero crossings of second derivative epipolar planes image based on the epipolar lines, select edges and compute depth estimates, sequence the edges based on contours in a spatial edge image, filter the depth estimates, and create a three-dimensional surface representation based on the filtered depth estimates and the original spatial images.

Abstract: In one embodiment, a method comprises accessing a plurality of images stored in a data store, and for a first image of the plurality of images, determining a color distribution of the first image, wherein the color distribution of the first image is based on a frequency of one or more colors depicted in the first image. The method further comprises, based on the color distribution of the first image, assigning the first image to a particular image class, wherein the particular image class further comprises a second image, wherein the assigning of the second image to the particular image class is further based on a color distribution of the second image. The method further comprises based on at least the first image and the particular image class, determining a particular color profile, assigning the particular color profile to the first image and the second image.