Abstract: A server system and method is for facilitating garment creation. A processor and storage device are configured to receive and store designed digital garment or garment parts for selection, approval and/or inclusion into a digital garment. A designer interface is accessible over a network and is configured to view, approve, select and place two or more of the digital garment parts together to form a digital garment to store in the storage device. An online purchase system is configured to access the storage device to select and purchase the digital garment from a plurality of available digital garments.

Abstract: Described herein are examples of weld tracking systems implemented via a welding helmet. The welding helmet includes weld tracking sensors configured to allow the welding helmet to track a welding-type tool and/or an arc generated by the welding-type tool. The welding helmet also includes helmet tracking sensors configured to allow the welding helmet to track its own position and/or orientation relative to a reference point in the welding environment. By tracking itself as well as the welding-type tool and/or arc, the welding helmet can differentiate between its own movement, and movement of the welding-type tool and/or arc. By knowing the spatial relationship between the different sensors of the welding helmet, the tracking information can be combined and used for weld tracking. By implementing the weld tracking system in the welding helmet, the weld tracking system becomes portable and usable outside of the usual fixed confines of weld tracking systems.

Abstract: Systems and methods for determining the location of personnel on a drilling site. A computer vision system can automatically identify and determine the locations of personnel on a drilling site, can generate a confidence map of the locations, and can display the locations of the personnel on a map of the drilling site. The system and methods also include taking corrective action when a person's location is determined to be unsafe, such as by inhibiting or causing automated actions with respect to machinery and equipment at the drilling site. The systems and methods may include the use of multiple cameras or video sources located at the drilling site and may be coupled to a control system to control machinery or equipment at the drilling site.

Abstract: Disclosed embodiments relate to systems and methods for locating, measuring, counting or aiding in the handling of drill pipes 106. The system 100 comprises at least one camera 102 capable of gathering visual data 150 regarding detecting, localizing or both, pipes 106, roughnecks 116, elevators 118 and combinations thereof. The system 100 further comprises a processor 110 and a logging system 114 for recording the gathered visual data 150. The method 200 comprises acquiring visual data 150 using a camera 106, analyzing the acquired data 150, and recording the acquired data 150.

Abstract: The proposed model is a Variational Autoencoder having a learnable prior that is parametrized with a Tensor Train (VAE-TTLP). The VAE-TTLP can be used to generate new objects, such as molecules, that have specific properties and that can have specific biological activity (when a molecule). The VAE-TTLP can be trained in a way with the Tensor Train so that the provided data may omit one or more properties of the object, and still result in an object with a desired property.

Abstract: An image processing apparatus comprises: an acquisition unit that acquires a first image obtained through shooting and distance information of the first image; a detection unit that detects a main subject from the first image; an extraction unit that extracts another subject from the first image based on the distance information of the main subject; a setting unit that sets parameters of one or more virtual light sources that emit virtual light to the main subject and the extracted other subject; and a processing unit that generates from the first image a second image in which the main subject and the other subject are illuminated with the virtual light using the parameters set by the setting unit.

Abstract: A three-dimensional data encoding method uses a first encoding scheme and a second encoding scheme different from the first encoding scheme, and includes: (i) transforming a first quantization parameter to a first scale value or (ii) transforming the first scale value to the first quantization parameter, based on a first table indicating a correspondence between values of the first quantization parameter and values of the first scale value and being shared between the first encoding scheme and the second encoding scheme; performing encoding including a first quantization process to generate encoded attribute information, the first quantization process being a process of dividing, by the first scale value, each of first coefficient values based on items of attribute information of three-dimensional points included in point cloud data; and generating a bitstream including the encoded attribute information and the first quantization parameter.

Abstract: An overview image of a sample carrier is obtained in a method for ascertaining a measurement location of a microscope. A mapping or homography is determined, by means of which the overview image is perspectively convertible into a plan view image on the basis of a height of the sample carrier. The measurement location is identified, with the aid of the determined mapping/homography, in the overview image or in an output image derived therefrom.

Abstract: An apparatus comprises a storage device configured to store a plurality of dictionary data for respectively detecting a plurality of different objects from an image; and at least one processor configured to function as: a detection unit configured to use partial dictionary data of the plurality of dictionary data to detect an object corresponding to the partial dictionary data, with respect to each frame of an image of a plurality of frames obtained by an image capturing device; and a switching unit configured to switch the dictionary data to be used by the detection unit in the plurality of frames, according to a result of the object detection by the detection unit.

Abstract: A pharmaceutical filling system for a high volume pharmacy is described. The system can include a spill detection subsystem and method. The system can include a cameras to take images that a processed to determine presence of a spilled pharmaceutical. A mirror portion is provided so that the camera can take images of the entire field of the filling area. The mirror portion can be a concave mirror that increases the field of view of the camera. A light panel can illuminate the field of view to allow the camera to take high speed images. A controller can receive a series of at least two images captured by the camera and determine whether an object in the captured images is a spilled pharmaceutical.

Abstract: A further coding efficiency increase may be achieved if for a current block of a picture, for which the bit stream signals one of supported partitioning patterns, a reversal of the partitioning by block merging is avoided. In particular, if the signaled one of the supported partitioning patterns specifies a subdivision of the block into two or more further blocks, a removal of certain coding parameter candidates for all further blocks, except a first further block of the further blocks in a coding order, is performed. Particularly, those coding parameter candidates are removed from the set of coding parameter candidates for the respective further block, the coding parameters of which are the same as coding parameters associated with any of the further blocks which, when being merged with the respective further block, would result in one of the supported partitioning pattern. This avoids redundancy between partitioning coding and merging coding.

Abstract: An image coding method includes coding a motion vector difference indicating a difference between the motion vector and a predicted motion vector, wherein the coding includes: coding a first portion that is a part of a first component which is one of a horizontal component and a vertical component of the motion vector difference; coding a second portion that is a part of a second component which is different from the first component and is the other one of the horizontal component and the vertical component; coding a third portion that is a part of the first component and is different from the first portion; coding a fourth portion that is a part of the second component and is different from the second portion; and generating a code string which includes the first portion, the second portion, the third portion, and the fourth portion in the stated order.

Abstract: Techniques for determining positions of devices within an environment are described herein. In some instances, an environment, such as a home or office of a user, may include an array of devices, some or all of which may couple to a network or to other devices via short-range wireless connections (e.g., Bluetooth®, Zigbee®, etc.). These devices may capture an array of data for providing to a central service, which is configured to analyze the data and, based on this analysis, determine a location of the devices relative to one another. That is, the central service may analyze the data to determine relative distances and orientations between the identified devices within the environment.

Abstract: This application generally relates to capturing and aligning panoramic image and depth data. In one embodiment, a device is provided that comprises a housing and a plurality of cameras configured to capture two-dimensional images, wherein the cameras are arranged at different positions on the housing and have different azimuth orientations relative to a center point such that the cameras have a collective field-of-view spanning up to 360° horizontally. The device further comprises a plurality of depth detection components configured to capture depth data, wherein the depth detection components are arranged at different positions on the housing and have different azimuth orientations relative to the center point such that the depth detection components have the collective field-of-view spanning up to 360° horizontally.

Abstract: A driving assistance apparatus is provided in which the detection range of a left-front-corner sonar (12a) located at the vehicle's left front corner is included in the field of view of a second imaging means (14) located at the vehicle's left front corner. When the left-front-corner sonar (12a) detects a three-dimensional object at the vehicle's left front corner, an image processing means (3) synthesizes an image of the image created using a second imaging means (14) and the images created with four cameras (7a-7d) for imaging the complete periphery of the vehicle, and creates a bird's-eye-view image (40b). The detection range of the left-front-corner sonar (12a) is included within a region of the bird's-eye image (40b) on the basis of the image created with the second imaging means (14).

Abstract: A system for scanning a body to create scan data comprises a processor, a range camera capable of capturing at least a first set of depth images of the body rotated to 0 degrees, and at least a second set of depth images of the body rotated to x degrees, wherein x is >0 degrees, and x<360 degrees. a set of computer instructions are executable on a processor capable of synchronizing scan data and body measurements with a server.

Abstract: A medical signal processing apparatus processes image signals input from an imaging device. The image signals corresponds to a result of examining a subject, and the imaging device sequentially outputs the image signals from multiple pixels arrayed in a matrix according to a raster to the medical signal processing apparatus. The medical image signal processing apparatus includes: a signal divider configured to divide the image signals according to the raster sequentially output from the imaging device into first divided image signals each according to a pixel group consisting of multiple pixels arrayed in connected multiple columns; and a plurality of pre-processors configured to process, in parallel, sets of pixel information of the multiple first divided image signals divided by the signal divider.

Abstract: The proposed model is a Variational Autoencoder having a learnable prior that is parametrized with a Tensor Train (VAE-TTLP). The VAE-TTLP can be used to generate new objects, such as molecules, that have specific properties and that can have specific biological activity (when a molecule). The VAE-TTLP can be trained in a way with the Tensor Train so that the provided data may omit one or more properties of the object, and still result in an object with a desired property.

Abstract: A method for a sensor-based and memory-based representation of a surroundings of a vehicle. The vehicle includes an imaging sensor for detecting the surroundings. The method includes: detecting a sequence of images; determining distance data on the basis of the detected images and/or of a distance sensor of the vehicle, the distance data comprising distances between the vehicle and objects in the surroundings of the vehicle; generating a three-dimensional structure of a surroundings model on the basis of the distance data; recognizing at least one object in the surroundings of the vehicle on the basis of the detected images, in particular by a neural network; loading a synthetic object model on the basis of the recognized object; adapting the generated three-dimensional structure of the surroundings model on the basis of the synthetic object model and on the basis of the distance data; and displaying the adapted surroundings model.

Abstract: Sketch copy mode may be used to code blocks comprising irregular lines, syntax redundancy may be removed from blocks with special characteristics, and/or run value coding may be simplified. The parsing dependencies in palette coding design may be removed. For example, the context modeling dependency of the syntax element palette_transpose_flag may be removed, for example, by simplifying the corresponding context model. The context modeling of the syntax element palette_mode may be removed, for example, by using run-length coding without using context. The syntax parsing dependencies and/or the syntax signaling dependencies that are related with escape color signaling may be removed. A palette table generation process may handle input screen content video with high bit depths, for example, at the encoder side.