Abstract: Techniques described herein may involve calibration of playback devices in indoor and outdoor environments. An example implementation may involve a playback device applying a first equalization profile that at least partially offsets acoustic characteristics of a first zone in a media playback system, the first zone corresponding to an indoor environment. The playback device may play back audio content using the first equalization profile and record, via one or more microphones, at least a portion of the played back audio content. Based on the recorded audio content, the playback device may detect that the playback device has been moved to an outdoor environment. Responsive to detecting that the playback device has been moved to the outdoor environment, the playback device applies a second equalization profile that calibrates the playback device to the outdoor environment.

Abstract: A non-hierarchical and iteratively updated tracking system includes a first module for creating an initial trajectory model for multiple targets from a set of received image detections. A second module is connected to the first module to provide identification of multiple targets using a target model, and a third module is connected to the second module to solve a joint object function and maximal condition probability for the target module. A tracklet module can update the first module trajectory module, and after convergence, output a trajectory model for multiple targets.

Abstract: The present invention provides a method for separating out a defect image from a thermogram sequence based on feature extraction and multi-objective optimization, we find that different kinds of TTRs have big differences in some physical quantities, such as the energy, temperature change rate during endothermic process, temperature change rate during endothermic process, average temperature, maximum temperature. The present invention extract these features (physical quantities) and cluster the selected TTRs into L clusters based on their feature vectors, which deeply digs the physical meanings contained in each TTR, makes the clustering more rational, and improves the accuracy of defect separation. Meanwhile, the present invention creates a multi-objective function to select a RTTR for each cluster based on multi-objective optimization.

Abstract: Methods for augmentation of previously captured augmented reality data with subsequently captured data are disclosed. A subsequent capture of a scene and associated AR data, such as a point cloud, may be correlated with the previously captured data by various methods, including image matching, object recognition, and geolocation referencing. Following correlation, the previously captured data may be augmented by the AR data from the subsequent capture, which may include adding or deleting points. Some existing points may be modified in some aspects where a subsequent capture includes more reliable data.

Abstract: A technique for dynamic sweet spot calibration. The technique includes receiving an image of a listening environment, which may have been captured under poor lighting conditions, and generating a crowd-density map based on the image. The technique further includes setting at least one audio parameter associated with an audio system based on the crowd-density map. At least one audio output signal may be generated based on the at least one audio parameter.

Abstract: Techniques to improve edge detection in images. Some techniques include logic to process image data into patched image data in accordance with a colorspace model where the patched image data includes color data in a plurality of patches and identify an image group corresponding to the patched image data. The logic may be further configured to select, based upon the image group, a colorspace transform mechanism being operative to transform the image data into transformed image data in accordance with another colorspace model, the other colorspace model having a higher likelihood than the colorspace model at edge detection for the image group. The logic may be further configured to apply the colorspace transform mechanism to the image data to generate the transformed image data in accordance with the other colorspace mode and then, apply an edge detection technique to the transformed image data. Other embodiments are described and claimed.

Abstract: Techniques and systems are provided for prioritizing objects for object recognition in one or more video frames. For example, a current video frame is obtained, and a objects are detected in the current video frame. State information associated with the objects is determined. Priorities for the objects can also be determined. For example, a priority can be determined for an object based on state information associated with the object. Object recognition is performed for at least one object from the objects based on priorities determined for the at least one object. For instance, object recognition can be performed for objects having higher priorities before objects having lower priorities.

Abstract: Various embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and audio and speaker systems. More specifically, disclosed are an apparatus and a method for processing signals for optimizing audio, such as 3D audio, by adjusting the filtering for cross-talk cancellation based on listener position and/or orientation. In one embodiment, an apparatus is configured to include a plurality of transducers, a memory, and a processor configured to execute instructions to determine a physical characteristic of a listener relative to the origination of the multiple channels of audio, to cancel crosstalk in a spatial region coincident with the listener at a first location, to detect a change in the physical characteristic of the listener, and to adjust the cancellation of crosstalk responsive to detecting the change in the physical characteristic to establish another spatial region at a second location.

Abstract: A product registration apparatus (20) includes a comparison unit (22) and a registration unit (24). The comparison unit (22) compares a first frame and a second frame of a video. The second frame is generated at a time later than the first frame. The comparison unit (22) determines a product that is not included in the first frame but included in the second frame. Then, the registration unit (24) registers the determined product (product that is not included in the first frame but included in the second frame) as a payment target.

Abstract: Methods and systems are provided for performing material capture to determine properties of an imaged surface. A plurality of images can be received depicting a material surface. The plurality of images can be calibrated to align corresponding pixels of the images and determine reflectance information for at least a portion of the aligned pixels. After calibration, a set of reference materials from a material library can be selected using the calibrated images. The set of reference materials can be used to determine a material model that accurately represents properties of the material surface.

Abstract: The bit depth of the pixels in a camera image are reduced. In one embodiment, the number of pixels for each of a set of multiple bit intensity values is counted. A pixel intensity value with a lowest count is selected and a mapping function is generated that combines the pixels with the lowest count with pixels having an adjacent pixel intensity value. This is repeated until a total number of pixel intensity value counts is reduced to a predetermined number. A reduced bit depth image is generated using the predetermined number of pixel intensity value counts by assigning a new pixel intensity value to each of the pixels using the mapping function and the reduced bit depth image is sent to an image analysis system.

Abstract: A system and method for generating an audio output file are provided. The method includes using one or more processors to perform steps of: receiving audio tracks, each audio track created according to audio parameters; separating each audio track into at least one selectable audio block, each audio block including audio content from a musical instrument involved in creating the audio track; assigning a unique identifier to each audio block; using the unique identifiers to select audio blocks, and generating the audio output by combining the audio blocks. The present invention prevents the use of the same combination of audio blocks in the generation of audio output to ensure that the audio output files generated a sufficiently unique. Also provided are audio file recording, editing and mixing modules enabling a user to have full creative control over mix and other parameters to modify as desired the audio file generated.

Abstract: Techniques of generating depth-of-field blur effects on digital images by digital effect generation system of a computing device are described. The digital effect generation system is configured to generate depth-of-field blur effects on objects based on focal depth value that defines a depth plane in the digital image and a aperture value that defines an intensity of blur effect applied to the digital image. The digital effect generation system is also configured to improve the accuracy with which depth-of-field blur effects are generated by performing up-sampling operations and implementing a unique focal loss algorithm that minimizes the focal loss within digital images effectively.

Abstract: A system for calculating a consensus foreground object, relative to a background within a series of video frames is disclosed. The system relies upon a multi-prong approach that takes a consensus selection for the foreground object reliant upon at least three different models, then outputs the foreground object for application of alpha matting for use in augmented realty or virtual reality filmmaking.

Abstract: A method and device for acquiring at least a part of an x-ray data set with at least one x-ray device. The x-ray data set includes at least one first x-ray image data set and at least one second x-ray image data set acquired separated in time that are to be evaluated together. Both x-ray image data sets show a region of interest of a patient that is subject to heart motion at different phases of a heart cycle. The second x-ray image data set is acquired triggered at a beginning of each heart cycle covered by the acquisition and with an acquisition rate such that the phases of the acquired x-ray image data set match phases of the first x-ray image data set.

Abstract: Examples described herein relate to mapping a space using a multi-directional camera. This mapping may be performed with a robotic device comprising a monocular multi-directional camera device and at least one movement actuator. The mapping may generate an occupancy map to determine navigable portions of the space. A robotic device movement around a point in a plane of movement may be instructed using the at least one movement actuator. Using the monocular multi-directional camera device, a sequence of images are obtained (610) at different angular positions during the instructed movement. Pose data is determined (620) from the sequence of images. The pose data is determined using features detected within the sequence of images. Depth values are then estimated (630) by evaluating a volumetric function of the sequence of images and the pose data. The depth values are processed (640) to populate the occupancy map for the space.

Abstract: Apparatus for determining height, width, weight or body mass index (BMI) of a subject or distance along an object. For BMI, the apparatus includes a digital camera; an application; a processing unit for storing the vertical and horizontal dimensions of known substantially rectangular reference objects. A user interface prompts and receives the type of reference object held by the user or its dimensions. For each of the vertical and horizontal dimensions, a magnitude in pixels and in distance of the reference object to form a ratio and a pixel magnitude of the vertical and horizontal dimensions of the subject in the image(s), is used to derive an estimated height and width of the subject from the pixel magnitude of the vertical and horizontal dimensions of the subject in the image(s). In some embodiments, the number of pixels occupied by the subject in the image(s) is used with a look-up table.

Abstract: A method including an acquisition, with an acquisition apparatus, of at least one two-dimensional image of arches of a patient, called “updated image”, in actual acquisition conditions, a separator separating lips of the patient in order to improve the visibility of patient's teeth, said separator including a register mark, wherein the representation of the register mark on the updated image is used to recut the updated image and/or to roughly assess the actual acquisition conditions and/or to guide the positioning of the acquisition apparatus at the moment of the acquisition of the updated image and/or to identify a dental situation and/or an action to be achieved by the acquisition apparatus.

Abstract: A method is used in evaluating a test subject in computing environments. A first machine learning system generates test subject features. A second machine learning system analyzes the test subject to detect distinguishing features of the test subject. A third machine learning system performs natural language processing on the test subject features to create evaluation information associated with the test subject. A test subject evaluation system provides an evaluation of the test subject based on the distinguishing features and the evaluation information.

Abstract: A non-transitory computer-readable recording medium recording a character area extraction program for causing a computer to execute a process includes changing a relationship in relative sizes between an image and a scanning window that scans the image; scanning the scanning window based on a changed relationship, specifying a scanning position at which an edge density of an image area included in the scanning window is equal to or larger than a threshold value, extracting one or more areas indicated by the scanning window at the specified scanning position as one or more character area candidates, determining, when overlapped character area candidates included in the one or more character area candidates overlap with each other, a maximum character area candidate having a maximum edge density among the overlapped character area candidates, and extracting the image area included in the maximum character area candidate as a character area.