Abstract: A method of providing an accurate three-dimensional scan of a dental arch area is disclosed. The arch area has two segments and a connecting area between the two segments. The connecting area has homogeneous features. A connecting-geometry tool with at least one definable feature is affixed to the arch area. The definable feature overlays at least part of the connecting area. The arch area is scanned to produce a scanned dataset of the arch area. The definable feature of the connecting-geometry tool on the connection area is determined based on the scanned dataset. The dimensions of the arch area are determined based on the data relating to the definable features from the scanned dataset.

Abstract: A sensor calibration system configured to receive a first frame of one or more markers on a repositionable platform at a first location within a space from a sensor. The system is further configured to determine pixel locations in the first frame for a first marker and a second marker from among the one or more markers. The system is further configured to receive distance information that corresponds with a distance between the platform and distance measuring devices. The system is further configured to determine (x,y) coordinates for the first marker and the second marker based on the distance information. The system is further configured to generate a homography based on the (x,y) coordinates and pixel locations of the first marker and the second marker. The homography includes coefficients that translate between pixel locations in the first frame of the sensor and (x,y) coordinates in the global plane.

Abstract: A method, apparatus and computer program product are provided for warping a perspective image into the ground plane using a homography transformation to estimate a bird's eye view in real time. Methods may include: receiving first sensor data from a first vehicle traveling along a road segment in an environment, where the first sensor data includes perspective image data of the environment, and where the first sensor data includes a location and a heading; retrieving a satellite image associated with the location and heading; applying a deep neural network to regress a bird's eye view image from the perspective image data; applying a Generative Adversarial Network (GAN) to the regressed bird's eye view image using the satellite image as a target of the GAN to obtain a stabilized bird's eye view image; and deriving values of a homography matrix between the sensor data and the established bird's eye view image.

Abstract: An information processing device includes a selection unit and an embedding unit. The selection unit selects, in a case where a moving image obtained by photographing plural targets that are present in front of a display screen of a display device is displayed on the display screen, plural related targets that are related to each other from the plural targets, based on a frame image of the moving image. The embedding unit embeds a composite image obtained based on an image of at least part of the plural related targets and a presentation image into the frame image.

Abstract: Methods and systems for monitoring communication traffic in communication networks, such as Internet Protocol (IP) traffic transferred over the Internet or over a wireless network. The disclosed techniques identify communication traffic that is associated with target individuals, by extracting digital images from the traffic and recognizing target individuals who appear in the images. A correlation system monitors communication sessions that are conducted in a communication network to identify known target individuals who appear in images. Upon recognizing a target individual in an image extracted from a certain session, the system correlates this target user with one or more of the communication identifiers used in the session. The system automatically identifies IP addresses or other identifiers that are used by target individuals, and enable subsequent tracking of such identifiers.

Abstract: A three dimensional (3D) content generating apparatus includes an inputter configured to receive a plurality of images of an object captured from different locations; a detector configured to identify the object and detect a predetermined feature point of the object from each of the plurality of images; a map former configured to extract 3D location information of the detected feature point, and configured to form at least one depth map with respect to a surface of the object based on the extracted 3D location information of the feature point; and a content generator configured to generate a 3D content of the object using the at least one depth map and the plurality of images.

Abstract: Disclosed embodiments include systems and methods employing a neural network to identify a tenant as the tenant walks into a management office by using facial recognition. The neural network provides a database of information related to each tenant and coupled to a given tenant's facial features. A method comprises of identifying facial features within an image of a tenant via a computer system, wherein the image is taken as the tenant enters into an office; cropping an image of a tenant; transmitting the cropped image to a convolutional neural network as an input; categorizing the input as an output; and displaying information regarding the tenant via an I/O interface of the computer system.

Abstract: A traveling position detection apparatus is provided. The traveling position detection apparatus includes: a map information storage part that stores map information including route information indicating a road route and lane marker information; a route position decision part that decides a route position that is a position on a road route based on a traveling speed, a traveling direction, and a positioning result; an offset position detection part that detects an offset position of a subject vehicle related to a lane markings by analyzing a road image and extracting the lane marking; and a traveling position decision part that decides the traveling position on a road based on the route position, an offset position, and lane marker information. When the offset position is not detected, the traveling position detection part estimates the traveling position based on the traveling speed, a traveling direction, and the already decided traveling position.

Abstract: The disclosure includes a method that receives a real-time image of a road from a camera sensor communicatively coupled to an onboard computer of a vehicle. The method includes dividing the real-time image into superpixels. The method includes merging the superpixels to form superpixel regions. The method includes generating prior maps from a dataset of road scene images. The method includes drawing a set of bounding boxes where each bounding box surrounds one of the superpixel regions. The method includes comparing the bounding boxes in the set of bounding boxes to a road prior map to identify a road region in the real-time image. The method includes pruning bounding boxes from the set of bounding boxes to reduce the set to remaining bounding boxes. The method may include using a categorization module that identifies the presence of a road scene object in the remaining bounding boxes.

Abstract: In an example embodiment, a computer-implemented method generates, using first machine learning logic, a first compact representation of a first object in a first image captured from a first perspective; generates, using second machine learning logic, a second compact representation of a second object in a second image captured from a second perspective; computes a similarity score reflecting a level of similarity between the first compact representation of the first object and the second compact representation of the second object; and identifies a subset of features of the first object and the second object as being more determinative than other features of the first object and the second object based on a comparison of the similarity score to a predetermined target output.

Abstract: Described is a multiple-camera system for use in capturing images of users within a materials handling facility and processing those images to monitor the movement of users. For large materials handling facilities, a large number of cameras may be required to monitor the facility. Processing of the data generated from a large number of cameras becomes difficult. The implementations described herein include a hierarchy that allows image data from any number of cameras within a materials handling facility to be processed without substantially increasing the processing time needed or sacrificing processing capabilities.

Abstract: Computing devices and methods for estimating a pose of a user computing device are provided. In one example a 3D map comprising a plurality of 3D points representing a physical environment is obtained. Each 3D point is transformed into a 3D line that passes through the point to generate a 3D line cloud. A query image of the environment captured by a user computing device is received, the query image comprising query features that correspond to the environment. Using the 3D line cloud and the query features, a pose of the user computing device with respect to the environment is estimated.

Abstract: A method for manufacturing a semiconductor device includes designing a layout, manufacturing a photomask based on the designed layout, and performing a photolithography process using the photomask to form a pattern on a substrate. The manufacturing of the photomask includes preparing the photomask including first and second chip regions, extracting first and second images from the first and second chip regions, respectively, averaging the first and second images to generate a preliminary standard image including a difference region between the first and second images, inserting a normal image into the difference region based on the layout to generate a standard image, and comparing each of the first and second images with the standard image to detect a defect of the first and/or second chip regions.

Abstract: An information processing system includes circuitry that inputs an image, and determines whether the image deviates from at least one desired image capture condition. The circuitry identifies a deviation amount of the image relative to the at least one desired image capture condition, and generates a deformed image in which a deviation from the at least one desired image capture condition is increased by a predetermined amount over the deviation amount identified.

Abstract: According to various embodiments, the present invention provides a product indexing method including receiving product data of a product, the product data comprising at least an image, such that the image includes a product image of the product and a context image which provides the context that the product may be in, such that the context image includes at least one non-product image. Product indexing method further includes identifying the product image, identifying the context image from the image, verifying the product in the product image based on the context image, extracting the product image and indexing the product image. According to various embodiment, the present invention provides a product indexing system for the product indexing system.

Abstract: A system is provided for evaluating a curl of at least one eyelash sample that includes a plurality of fibers, comprising: a platform configured to receive a sample of the eyelash sample; an image capturing device configured to capture profile image of the eyelash ample; and a processing system configured to receive the profile image and evaluate at least one feature related to a curl of one or more of the fibers of at least one eyelash sample.

Abstract: Methods and electronic devices are provided in which first fingerprint information of a first portion of the user's fingerprint is obtained upon the user's fingerprint contacting the fingerprint sensor. A display object is output within a target area for the fingerprint registration, in response to obtaining the first fingerprint information. A guiding object is output to guide contact of a next portion of the user's fingerprint that is adjacent to the first portion. Next fingerprint information of the next portion of the user's fingerprint is obtained upon the user's fingerprint contacting the fingerprint sensor guided by the guiding object. Upon modifying the display object based on the obtained next fingerprint information, the steps of outputting a guiding object and obtaining a next fingerprint information are repeated until fingerprint information at least partially surrounding the first portion is obtained.

Abstract: A system for tracking a following vehicle by a leading vehicle. In one example, the system includes a user interface, a camera, an output device, and an electronic controller. The electronic controller is configured to receive, via the user interface, an indication of the following vehicle and recognize the following vehicle. The electronic controller tracks the following vehicle using a video feed from the camera and determines whether the following vehicle is struggling to follow the leading vehicle. The electronic controller also generates a driver notification when the following vehicle is struggling to follow the leading vehicle and outputs, via the output device, the driver notification.

Abstract: A method and system of selecting a surface finish for a computer designed component associated with an anatomical area of a specific patient. A computer designed component is created. The component includes at least one surface. An interface of finishing software displays an image of the component and the at least one surface. A plurality of finishes available for the at least one surface is displayed. A selection of one of the plurality of finishes for the at least one surface is input by a user. The component data and finishing data may then be sent to a computer aided manufacturing system to manufacture the computer designed component.

Abstract: An adaptive automobile meter detection method based on character segmentation cascade classifier which processes threshold segmentation, morphology and connected components analysis on the original image; extracts the pointer based on the contour analysis method, establishes a pointer information list; constructs a character segmentation cascade classifier by combining a HOG/SVM character segmentation classifier, a character filter and a CNN digit classifier. The character segmentation cascade classifiers is used to identify the digit character area of the automobile meter. Region analysis is performed to extract tick marks based on the center of the digit character area. The angular position corresponding to the tick mark is determined. The response value corresponding to the pointer is determined by establishing the Newton interpolation linear description relationship between the pointer angle and the response value and then the meter is classified as pass or fail.