Abstract: Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, including downsampling a full point cloud to obtain a downsampled point cloud, wherein the downsampling reduces a data size of the full point cloud; and using a machine-learning model to assign labels for segmentation and object identification to points in the downsampled point cloud, wherein the machine-learning model is trained on the full point cloud. Other embodiments are disclosed.

Abstract: A method for correcting errors of a depth camera caused by the temperature includes: obtaining, by at least two depth cameras, a depth image of a current target, wherein two adjacent depth cameras of the at least two depth cameras have a common field of view; modeling a measurement error of the two adjacent depth cameras caused by a temperature change; and correcting the depth image using the modeled measurement error, wherein the corrected depth image has a minimum depth difference in the common field of view.

Abstract: Technologies for detecting occlusions on a camera of a vehicle by a compute device are disclosed. The compute device may receive one or more images from the camera. The compute device may analyze the images using various algorithms such as optical flow calculations, blurriness detection for portions of the image, edge detection, and circular artifact detection. The analysis may be used to determine the presence of occlusions on the camera, such as water drops, mud, dirt, etc. The compute device may send a command to clean the camera and/or may use the determined presence of occlusions as part analyzing images from the camera for a driver assist system, such as by ignoring portions of the image that are occluded.

Abstract: A method is described for training a model that refines estimated parameter values within core images is disclosed. The method includes receiving multiple training image pairs wherein each training image pair includes: (i) an unrefined core image of a rock sample to be used for estimating rock properties, and (ii) a refined core image of the same rock sample; generating a training dataset from the multiple training image pairs; receiving an initial core model; generating a conditioned core model by training, using the multiple training image pairs, the initial core model; and storing the conditioned core model in electronic storage. The conditioned core model may be applied to an initial target core image data set to generate a refined target sore image dataset. The method may be executed by a computer system.

Abstract: A method of virtual reality image segmentation and a virtual reality image reproducing device are disclosed. The method provides a step of determining the Play FOV of the image segmentation by adding a Guard FOV to the Temporary FOV covered by the temporary image segmentation, in the temporary image segmentation that divides the original image into Nth regions, a step of determining a Virtual Device FOV wider than a Device FOV of the head-mounted display by a predetermined Additional FOV and a step of starting a transit procedure of reproduced image segmentation among a plurality of image segmentation when a predetermined transit standard calculated using the Virtual Device FOV and Play FOV of reproduced image segmentation is satisfied.

Abstract: A method, computer system, and a computer program product for analyzing visual defects is provided. The present invention may include generating a template image. The present invention may include capturing a test image. The present invention may include performing an image registration between the template image and the test image. The present invention may include generating a registered test image. The present invention may include performing an image difference analysis between the registered test image and the template image. The present invention may include generating a differential image. The present invention may include synthesizing the registered, differential image, and template image. The present invention may include generating a synthetic image. The present invention may include inputting the synthetic image into a multi-scale detection network. The present invention may include generating a defect map.

Abstract: A system for generating point clouds having surface normal information includes one or more processors and a memory having a depth map generating module, a point cloud generating module, and surface normal generating module. The depth map generating module causes the one or more processors to generate a depth map from one or more images of a scene. The point cloud causes the one or more processors to generate a point cloud from the depth map having a plurality of points corresponding to one or more pixels of the depth map. The surface normal generating module causes the one or more processors to generate surface normal information for at least a portion of the one or more pixels of the depth map and inject the surface normal information into the point cloud such that the plurality of points of the point cloud include three-dimensional location information and surface normal information.

Abstract: An electronic device, a method and a storage medium are disclosed. The electronic device includes a processor and a memory operatively coupled to the processor. The processor is configured to receive a user input from an external electronic device. The processor is also configured to synthesize a first region that is a first partial region of a first raw image and a second partial region of a second raw image based on the user input to generate a composite raw image. The processor is further configured to modify at least one of a first attribute of the first raw image and a second attribute of the second raw image to generate a third attribute. Additionally, the processor is configured to calibrate the composite raw image using the third attribute to generate a composite image.

Abstract: An image processing apparatus includes a representative-distance calculator and a joining processor. The representative-distance calculator generates representative distance values of the basis of a distance image generated from a stereo image including an image of at least one object including a vehicle. The distance image includes distance values of pixels. The joining processor performs a joining process of joining a first image region and a second image region that are defined based on the image of the at least one object in the stereo image, performs a determining process of determining whether a temporarily joined region in which the first image region and the second image region are temporarily joined includes an image of a corner portion of the vehicle, and refrains from performing the joining process when the temporarily joined region includes the image of the corner portion.

Abstract: Methods, systems, articles of manufacture, and apparatus to enhance image depth confidence maps are disclosed. An apparatus includes a gradient analyzer to: generate an image gradient based on a digital image of a scene; and generate a depth gradient based on a depth map associated with the digital image. The depth map is to define depth values corresponding to pixels in the digital image. The apparatus further includes an enhanced confidence map analyzer to determine an enhanced confidence map for the depth map based on the image gradient, the depth gradient, and an initial confidence map for the depth map.

Abstract: A method comprising: associating, by a computing device, at least one first item to a first passenger based on the at least one first item being received in an area of a vehicle; associating, by the computing device, at last one second item to a second passenger based on the at least one second item being received in the area of the vehicle; monitoring, by at least two image capture devices, the area of the vehicle; and determining, by the computing device and based on the first passenger taking the at least one second item from the area, an alert.

Abstract: Both improvement of a degree of freedom in selecting the model of the imaging device and improvement in accuracy of the image inspection are achieved by causing an imaging device conformable to a standardization standard to perform multi-stage processing in order. A setting device specifies a combination of values of a plurality of selectors for realizing multi-stage processing set by a user on a user interface, and transmits the values of the selectors and register information to the imaging device. The imaging device stores the values of the selectors in a location indicated by the corresponding register information, and sequentially executes the multi-stage processing specified by the combination of the values of the selectors.

Abstract: This application discloses a method and apparatus for segmenting point cloud data, a storage medium and an electronic device. The method includes: obtaining target point cloud data by scanning target objects around a vehicle with laser lines; clustering the target point cloud data to obtain a plurality of first datasets, wherein feature points represented by point cloud data within each of the plurality of first datasets are fitted on one segmented line segment, each feature point being a point on a respective target object; and combining the plurality of first datasets according to distances between the corresponding plurality of segmented line segments to obtain a plurality of second datasets, wherein each second dataset includes at least one of the plurality of first datasets. This application resolves a technical problem of relatively low efficiency of point cloud segmentation in the related art.

Abstract: An image generating device for obtaining an image of an object, comprising: a control module configured to generate a first signal having a first frequency component and a first phase component for a first axis direction, and a second signal having a second frequency component and a second phase component for a second axis direction, an emitting unit configured to emit light to the object using the first signal and the second signal; and a light receiving unit configured to obtain light receiving signal based on returned light from the object.

Abstract: An electronic device, a method and a storage medium are disclosed. The electronic device includes a processor and a memory operatively coupled to the processor. The processor is configured to receive a user input from an external electronic device. The processor is also configured to synthesize a first region that is a first partial region of a first raw image and a second partial region of a second raw image based on the user input to generate a composite raw image. The processor is further configured to modify at least one of a first attribute of the first raw image and a second attribute of the second raw image to generate a third attribute. Additionally, the processor is configured to calibrate the composite raw image using the third attribute to generate a composite image.

Abstract: A computing system may be configured to perform operations including obtaining image data depicting a flow of soil around a ground-engaging tool of an agricultural implement as the ground-engaging tool is moved through the soil. Furthermore, the operations may include extracting a set of features from the obtained image data. Moreover, the operations may include inputting the set of features into the machine-learned classification model and receiving a soil flow classification of the set of features as an output of the machine-learned classification model. In addition, the operations may include determining when the ground-engaging tool is plugged based on the soil flow classification of the set of features.

Abstract: Systems and methods are disclosed that perform occupancy detection. Photoelectric sensors, such as through sensors, are arranged in an angled cross pattern, such that light beams of the through sensors cover a substantial portion of the seating surface of a seat. Upon interruption of a light beam making up the angled cross pattern, an object is detected in the seat. The through sensors may be held in a narrow armrest of a seat by a bracket attached to the seat frame. Further, through sensors for neighboring seats may also be held by the bracket.

Abstract: A ridge flow based fingerprint image quality determination can be achieved independent of image resolution, can be processed in real-time and includes segmentation, such as fingertip segmentation, therefore providing image quality assessment for individual fingertips within a four finger flat, dual thumb, or whole hand image. A fingerprint quality module receives from one or more scan devices ridge-flow—containing imagery which can then be assessed for one or more of quality, handedness, historical information analysis and the assignment of bounding boxes.

Abstract: According to one embodiment, a point cloud data processing device includes a communication interface and a processor. The communication interface acquires distance data from a distance sensor. The processor generates second point cloud data by employing one point for each unit cell preset for coordinates of first point cloud data based on the distance data.

Abstract: An image processing apparatus includes a painting section and an extraction section. The painting section performs painting on a margin at an end part of an image. The extraction section extracts a document included in the image on which the painting is performed by the painting section.