Abstract: Methods and arrangements involving portable user devices such smartphones and wearable electronic devices are disclosed, as well as other devices and sensors distributed within an ambient environment. Some arrangements enable a user to perform an object recognition process in a computationally- and time-efficient manner. Other arrangements enable users and other entities to, either individually or cooperatively, register or enroll physical objects into one or more object registries on which an object recognition process can be performed. Still other arrangements enable users and other entities to, either individually or cooperatively, associate registered or enrolled objects with one or more items of metadata. A great variety of other features and arrangements are also detailed.

Abstract: A design support system for permitting a design that easily meets desired conditions regarding an entire item group is provided. An automatic estimation system acting as the design support system comprises: an item recognition section that recognizes each of the items included in the item group by individually recognizing elements making up the item; a designated condition recognition section that recognizes a designated condition from the manufacturing conditions; and a recommended-to-be-examined element recognition section that recognizes, with respect to the designated condition recognized, the element corresponding to any of the manufacturing conditions that is recommended to be examined for changes. The recommended-to-be-examined element recognition section displays a model of the item group by highlighting the element for which the manufacturing condition is recommended to be examined for changes.

Abstract: A fully automated method for detecting and measuring a target of interest such as vasculature, capable of processing whole slide images and extracting large number of targets of interest per slide. The method includes the steps of: (a) obtaining a digital image of a tissue specimen; (b) using a first set of mathematical algorithms based on objectively-defined criteria to isolate the one or more targets of interest from the slide, thereby detecting the one or more targets of interest; and (c) using a second set of mathematical algorithms based on objectively-defined criteria to construct boundaries around the detected targets of interest and obtain quantitative attributes of these one or more targets throughout the slide, thereby measuring the one or more targets.

Abstract: Various methods are using SQL based data extraction for extracting relevant information from images. These are rule based methods of generating SQL-Query from NL, if any new English sentences are to be handled then manual intervention is required. Further becomes difficult for non-technical user. A system and method for extracting relevant from the images using a conversational interface and database querying have been provided. The system eliminates noisy effects, identifying the type of documents and detect various entities for diagrams. Further a schema is designed which allows an easy to understand abstraction of the entities detected by the deep vision models and the relationships between them. Relevant information and fields can then be extracted from the document by writing SQL queries on top of the relationship tables. A natural language based interface is added so that a non-technical user, specifying the queries in natural language, can fetch the information effortlessly.

Abstract: The present invention relates to device, system and method for verifying image-related information of a medical image.

Abstract: A method comprises providing a current state image and at least one reference image, taken from a similar angle range. The image and the at least one reference image are superimposed and a visual representation visualizing the relation between the image and the reference image is provided in order to track displacements of the bone during subsequent operation steps. A system is provided which can use the image data to track displacements and determine deviation from a current state of the elements in question to a target state.

Abstract: The present disclosure generally provides a system and method for processing and identifying data in form. The system and method may distinguish between content data and background data in a form. In some aspects, the content data or background data may be removed, wherein the remaining data may be processed separately. Removal of the background data or the content data may allow for more effective or efficient character recognition of the data. In some embodiments, data may be processed on an element basis, wherein each element of the form may be labeled as background data, content data, noise, or combinations thereof. This system and method may significantly increase the ability to capture and extract relevant information from a form.

Abstract: An apparatus for performing object recognition includes an image camera to capture a first resolution image and a depth map camera to capture a second resolution depth map. The first resolution is greater than the second resolution. The apparatus is configured to perform object recognition based on the image and the depth map.

Abstract: Systems and methods for monitoring and controlling burning operations are provided. A method of one embodiment includes igniting oil or gas with a burner (282) during a burning operation and monitoring the burning operation with a camera (290). This monitoring of the burning operation can include acquiring image data for a flame (290) of the burner via the camera and analyzing the acquired image data to detect image features indicative of combustion of the oil or gas via the burner. Additional systems, methods, and devices are also disclosed.

Abstract: A processor and method for scaling an image are disclosed. A specific embodiment of the processor includes: an off-chip memory, a communication circuit, a control circuit, and an array processor, wherein: the off-chip memory is configured for storing a to-be-scaled original image; the communication circuit is configured for receiving an image scaling instruction; the control circuit is configured for executing the image scaling instruction, and sending a calculation control signal to the array processor; and the array processor is configured for calculating in parallel channel values of N channels in a target pixel using N processing elements in the array processor under the control of the calculation control signal based on a width scaling factor, a height scaling factor, and channel values of N channels in extracted pixel data. The embodiment has improved the processing speed of an image scaling operation.

Abstract: A data processing method includes reading first to-be-processed data from a first storage unit into a second storage unit, computing a processing result according to the first to-be-processed data stored in the second storage unit, and, while computing the processing result, reading second to-be-processed data from the first storage unit. The first to-be-processed data is at a first layer of one or more image pyramids having a plurality of layers, and the second to-be-processed data is at a second layer of the one or more image pyramids.

Abstract: An image-processing device, for gas detection that performs image processing on infrared images of a subject being taken at plurality of times a day, includes a hardware processor that generates physical-quantity-change data indicating chronological change in physical quantity determined based on pixel data of pixels constituting the infrared image. The hardware processor selects, from the pixels constituting the infrared image, a reference pixel used as a reference and a comparison pixel to be compared with the reference pixel, and calculates a degree of phase similarity indicating a degree of similarity in phase between a waveform of the physical-quantity-change data of the reference pixel and a waveform of the physical-quantity-change data of the comparison pixel. The hardware processor determines, based on the degree of phase similarity, that an image including the reference pixel and the comparison pixel is not a gas image.

Abstract: A method for evaluating the depth of a burn wound in a subject comprises (a) receiving an imaging video of the burn wound collected by an ultrasound transducer, (b) evaluating nodes and edges connecting the nodes in a plurality of layers of the burn wound in a plurality of frames of the imaging video, with a classifier system, the classifier system comprising a convolutional neural network that compares the nodes and edges of the burn wound with nodes and edges in a plurality of layers of a plurality of historical burn wounds of known depth, and (c) assigning a depth to the burn wound, the assigned depth being an average of depths associated with a plurality of the historical burn wounds having a predetermined minimum similarity of nodes and edges to the nodes and edges of the burn wound.

Abstract: The present disclosure generally relates to systems and methods for providing intelligent control to imaging systems, associated patient machines, or both. In one embodiment, the systems and methods provide automated magnetic resonance imaging (MRI) control. An MRI infusion pump/patient monitor may have a cloud/Internet connection and may transfer a patient's data to a patient network while an MRI with the patient is in progress. The data maybe compared to a historical patient database in the patient network. A pump algorithm may be selected based on multiple factors. Such factors may include patient vitals and electronic medical records. The selected pump algorithm may be used to control the MRI infusion pump.

Abstract: A method of LiDAR-based vehicle tracking for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs include instructions, which when executed by a computing device, cause the computing device to perform the following steps comprising: projecting points in a processed point cloud to a unit sphere, for each of the projected points, determining that a distance between one and each of its neighboring points is smaller than a threshold, and forming a cluster of the one and its neighboring points.

Abstract: Location-Based Addressing (LBA) is a method of controlling and commissioning networked lighting devices. The lighting devices communicate over a wireless network using radio frequency communication protocols. The lighting devices are commissioned or grouped based on their 5 respective locations in a building floor plan or a building architecture. The lighting devices are commissioned to respond to radio frequency communications that correspond to their respective locations. This imposed location-based architecture reduces the amount of transmitted data required to control the lighting devices and, thus, reduces the radio bandwidth required to control the lighting devices. In other words, controlling devices “multicast” instructions and controlled devices “listen” for instructions and act only upon instructions that correspond to their respective location. Hand shaking or two-way communication between the controlling devices and the controlled devices is not required.

Abstract: A computing system obtains image data capturing first and second objects. The system determines, based on user-identified data points, boundaries of the objects and generates a component of a dataset by computing a first data value related to an attribute of a key point in the first image; and computing a second data value related to an attribute of a key point in the first image. The system generates a second component of the dataset, the second component representing updated relative information between the first and second object by generating predicted changes in the first data value and second data value for the second image. The system computes a third data value and a fourth data value related to respective data points in a first and second polygon in the second image. The generating the updated relative information is based on the predicted changes and computed values.

Abstract: According to an embodiment, an object detecting apparatus includes a detector and an estimation processing unit. The detector is configured to detect an object candidate area from a captured image. The estimating processing unit is configured to, by performing estimation processing using a part of or a whole of the captured image including at least the object candidate area, output object information including at least information representing a pose of an object in the object candidate area. The estimation processing includes: a first process estimating, from among vertices of a cuboid circumscribing the object and making contact with a road surface, positions of at least two vertices on the captured image that are viewable from a viewpoint of the captured image; and a second process estimating to which one of right-front, left-front, right-rear, or left-rear of the object the vertices having positions estimated by the first process are respectively corresponding.

Abstract: There is provided an information processing device, an information processing method, and a program to enable an observer to visually recognize an image in a virtual space with higher convenience, the information processing device including: a control unit that controls, on a basis of a gazing point or a gazing target of an observer to an image in a virtual space, an angle-of-view of a virtual camera for defining the image in the virtual space; and an image information output unit that outputs information about the image in the virtual space.

Abstract: A method for displaying an anatomical image of a coronary artery on a graphical user interface with information acquired from a plurality of intravascular image frames. The method may include detecting qualitative information from the plurality of intravascular image frames, creating one or more indicator(s) from the qualitative information detected, and determining a spatial relationship between the anatomical image and a plurality of acquisition locations of the plurality of intravascular image frames and generating its linear representation. The method also includes displaying the anatomical image of the coronary artery with the linear representation overlaid thereon on a display device and overlaying the one or more indicator(s) representing at least one type of qualitative information on the anatomical image along the linear representation.