Abstract: Defined herein is a borescope, including a tube and a tip. The tube includes a first end and a second end, opposite the first end. The tip is fixed to the first end of the tube and comprises a housing and an image acquisition system. The image acquisition system is within the housing and comprises a light emitting diode ring, a micro-lens array, a main lens, and a photodetector array. The light emitting diode ring includes a plurality of light emitting diodes. The micro-lens array includes a plurality of micro-lenses. The main lens is between the light emitting diode ring and the micro-lens array. The photodetector array includes a plurality of photodetectors. The micro-lens array is between the main lens and the photodetector array.

Abstract: A method capable of estimating multi-degree-of-freedom motion of an optical sensing apparatus includes: providing an image sensor having a pixel array having a plurality of image zones to sense and capture a frame; providing and using a lens to vary optical magnifications of a plurality of portion images of the frame to generate a plurality of reconstructed images with different of field of views, the portion images of the frame respectively corresponding to the image zones; and estimating and obtaining a motion result for each of the reconstructed images to estimate the multi-degree-of-freedom motion of the optical sensing apparatus.

Abstract: A method of operating a package handling system includes: receiving first image data representative of a first surface image of a package surface; identifying a pair of intersecting edges for the package surface based on the first image; determining a minimum viable region based on the pair of edges, the minimum viable region for gripping and lifting the package; receiving second image data representative of the package after the lift; and creating registration data based on the third image data.

Abstract: A method of operating a package handling system includes: receiving first image data representative of a first surface image of a package surface; identifying a pair of intersecting edges for the package surface based on the first image; determining a minimum viable region based on the pair of edges, the minimum viable region for gripping and lifting the package; receiving second image data representative of the package after the lift; and creating registration data based on the third image data.

Abstract: A method of visual odometry for a non-transitory computer readable storage medium storing one or more programs is disclosed. The one or more programs includes instructions, which when executed by a computing device, causes the computing device to perform the following steps comprising: performing data alignment among sensors including a LiDAR, cameras and an IMU-GPS module; collecting image data and generating point clouds; processing, in the IMU-GPS module, a pair of consecutive images in the image data to recognize pixels corresponding to a same point in the point clouds; and establishing an optical flow for visual odometry.

Abstract: Passing vehicle filters for audio/video (A/V) recording and communication devices in accordance with various embodiments of the present disclosure are provided. In one embodiment, an A/V recording and communication device is provided, the device comprising a camera configured to capture image data of an object within a field of view of the camera, wherein the field of view comprises at least one active motion zone; a communication module; and a processing module comprising: a processor; and a motion detection application that configures the processor to: detect motion of the object within the field of view; capture image data; assign an object ID; determine a speed and a direction of movement; determine an aspect ratio; create an object boundary and determine a distance between a center of the object boundary and the at least one active motion zone; and determine whether the object is a passing vehicle.

Abstract: The invention relates to a system and method to control a workflow comprising at least one task to be performed by a person (P3), wherein information is provided about at least one certain object (20, 32, 36, 38) related to the at least one task of the workflow, eye data (24, 26) are captured of at least one eye of the person (P3), and in dependency of the eye data (24, 26) and the information about the at least one certain object (20, 32, 36, 38) it is checked whether at least one task condition consisting in whether the task had been performed and/or whether the task is allowed to be performed is fulfilled. The invention also relates to a system and method for providing a set of task-specific control parameters (CP).

Abstract: A system that performs noise estimation for an audio adjustment application comprises a coherence calculator that determines at least one coherence value between microphone signals generated by at least two microphones that each independently senses acoustic energy in a listening space. A first microphone of the at least two microphones generates a first microphone signal from the acoustic energy and a second microphone of the at least two microphones generates a second microphone signal from the acoustic energy. The acoustic energy comprises a combination of an audio signal transduced by one or more speakers and environmental noise of the acoustic energy that is local to the listening space. A noise estimate computation processor determines an estimate of a level of the environmental noise based on the at least one coherence value.

Abstract: Fuel sampling systems are disclosed. In one embodiment, a fuel sampling system includes an optical capture device and an analysis computing device that stores logic for implementing an evaluation sequence. During the evaluation sequence, the analysis computing device performs at least the following: receive a captured image from the optical capture device, identify areas of highest contrast in the captured image, and determine if the areas of highest contrast define a ring. If the areas of highest contrast define a ring, evaluate a contrast ratio between the ring and areas outside of the ring, and determine if the captured image reflects a fuel sample that exceeds a predetermined limit of propensity for settling. If so, indicate that the captured image reflects a fuel sample that is not acceptable. Otherwise, indicate that the captured image reflects a fuel sample that is acceptable.

Abstract: Methods and apparatus for tracking a light source in an environment surrounding a device. In an exemplary embodiment, a method includes analyzing an image of an environment surrounding a device to detect a light source and calculating a location of the light source relative to the device. The method also includes receiving motion data corresponding to movement of the device, and adjusting the location of the light source based on the motion data. In an exemplary embodiment, an apparatus includes an image sensor that acquires an image of an environment surrounding a device, and a motion tracking element that outputs motion data that corresponds to motion of the device. The apparatus also includes a tracker that analyzes the image to detect a light source, calculates a location of the light source relative to the device, and adjusts the location of the light source based on the motion data.

Abstract: A method of pre-operatively developing a reverse shoulder arthroplasty plan can include receiving an image of a patient shoulder comprising a humerus and a glenoid. The image can be segmented to develop a 3D shoulder model. Virtual surgery can be performed on the 3D shoulder model to generate a modified shoulder model. The virtual surgery can include resecting and reaming a virtual humerus of the 3D shoulder model, and reaming a virtual glenoid of the 3D shoulder model. Selection of a humeral implant and selection of a glenoid implant can be received. A virtual representation of the humeral implant can be implanted on the virtual humerus and a virtual representation of the glenoid implant on the virtual glenoid to virtually update the modified shoulder model. A range of motion of the patient shoulder can be determined and a reverse shoulder arthroplasty can be finalized based on the range of motion.

Abstract: An image processing system includes an input interface to receive a set of pairs of images to train an image generator, each pair includes a low-resolution image of a scene and a high-resolution image of the scene, a processor to train the image generator by solving an optimization problem to produce parameters of the image generator reducing distances between image gradients of the high-resolution images and the corresponding low-resolution images upsampled by the image generator, and an output interface to render the parameters of the image generator.

Abstract: An object detection apparatus includes a fusion target generation section that generates a fusion target by combining first target information, which is acquired as a reflected wave of a carrier wave, of an object present ahead of an own vehicle and second target information, which is acquired by image processing by an imaging unit, of the object present ahead of the own vehicle, and that detects the object by using the fusion target.

Abstract: An image processing device includes a data processing unit that processes data of a face image which is captured to include a face. The data processing unit generates an edge image by filtering the face image to detect an edge in a scanning direction, extracts a sampling value as the information regarding a gradient magnitude and whether the gradient is positive or negative from each of positions in the edge image corresponding to a plurality of points constituting the sampling curve, calculates a likelihood with respect to the sampling curve by setting points having a positive gradient and a negative gradient as likelihood evaluation targets in a first point group and a second point group, and detects a sampling curve having a maximum likelihood as a pupil or an iris among a plurality of sampling curves.

Abstract: Soundfield signals such as e.g. Ambisonics carry a representation of a desired sound field. Methods and apparatus for improved decoding an audio soundfield representation for audio playback comprise receiving, by a processor configured to decode the audio soundfield representation, the audio soundfield representation, receiving, by the processor, a decode matrix for decoding the audio soundfield representation to determine a decoded audio signal. The decode matrix is based on an inverse of a mode matrix, and the coefficients of the mode matrix relate to information for a panning based on positions of loudspeakers over a unit sphere. The mode matrix is further based on an order N. The decoded audio signal is determined based on a multiplication of the decode matrix and the audio soundfield representation.

Abstract: The present application relates to a method and device for segmenting lines in a line chart. The device converts a line chart in which N legends are detected from an RGB color model to an LAB space model to obtain an LAB value of each legend in the line chart and an LAB value of each pixel in the line chart respectively; performs Euclidean distance calculation on the LAB value of each legend and the LAB value of each pixel in the line chart to generate N color difference distribution maps, one legend corresponding to one color difference distribution map; and finds out the minimum in each color difference distribution map, setting a segmentation threshold with reference to the minimum, and segmenting a rough line corresponding to the color difference distribution map in the color difference distribution map according to the segmentation threshold.

Abstract: Embodiments classify a region of tissue demonstrating non-small cell lung cancer using quantified vessel tortuosity (QVT). One example apparatus includes annotation circuitry configured to segment a lung region from surrounding anatomy in the region of tissue represented in a radiological image and segment a nodule from the lung region by defining a nodule boundary; vascular segmentation circuitry configured to generate a three dimensional (3D) segmented vasculature by segmenting a vessel associated with the nodule, and to identify a center line of the 3D segmented vasculature; QVT feature extraction circuitry configured to extract a set of QVT features from the radiological image; and classification circuitry configured to compute a probability that the region of tissue will respond to immunotherapy and generate a classification that the region of tissue is a responder or a non-responder based, at least in part, on the probability.

Abstract: Provided is an information processing apparatus, including a position estimating unit configured to estimate a position of a second imaging apparatus on the basis of a first captured image captured by a first imaging apparatus whose position is specified and a second captured image captured at a time corresponding to the first captured image by the second imaging apparatus serving as a position estimation target.

Abstract: An automated motion-blur detection process can detect frames in digital videos where only a part of the frame exhibits motion blur. Certain embodiments programmatically identify a plurality of feature points within a video clip, and calculate a speed of each feature point within the video clip. A collective speed of the plurality of feature points is determined based on the speed of each feature point. A selection factor is compared to a selection threshold for each video frame. The selection factor is based at least in part on the collective speed of the plurality of feature points. Based on this comparison, at least one video frame from within the video clip is selected. In some aspects, the selected video frame is relatively free of motion blur, even motion blur that occurs in only a part of the image.

Abstract: A system is provided for unsupervised cross-domain image generation relative to a first and second image domain that each include real images. A first generator generates synthetic images similar to real images in the second domain while including a semantic content of real images in the first domain. A second generator generates synthetic images similar to real images in the first domain while including a semantic content of real images in the second domain. A first discriminator discriminates real images in the first domain against synthetic images generated by the second generator. A second discriminator discriminates real images in the second domain against synthetic images generated by the first generator. The discriminators and generators are deep neural networks and respectively form a generative network and a discriminative network in a cyclic GAN framework configured to increase an error rate of the discriminative network to improve synthetic image quality.