Techniques for cascade filtering of a set of points of interest (POIs) in a light detection and ranging (LiDAR) system is described. The method includes performing a series of cascaded filtering of a set of points of interest (POIs) in a first point cloud and a second point cloud of the LiDAR system. The method also includes calculating at least a first metric over at least the POI and to make a decision with respect to the second point cloud, and extracting at least one of range and velocity information based on the second point cloud.

A device and a method for determining a format of an immersive image and/or for rendering an immersive image are disclosed, wherein the device for determining a format of an immersive image includes one or more processors configured to: determine an aspect ratio of an immersive image and one or more additional characteristics of the immersive image; and determine a format of the immersive image using the determined aspect ratio and the determined one or more additional characteristics of the immersive image.

Apparatus and associated methods relate to aligning a taxi-assist camera such that each image frame of real-time video that the camera generates has a standard presentation format. The taxi-assist camera is configured to be mounted on an aircraft and oriented such that each image frame includes both a specific feature of the aircraft and of nearby objects external to the aircraft. The specific feature of the aircraft is detected and a location within the image frame of the specific feature is determined. The determined location within the image frame is compared with a reference location. A transformation operator is generated to transform the image frame such that the specific feature of the aircraft will be located within the image at a location corresponding to the reference location. The transformation operator is then applied to each of the image frames of the real-time video that the camera generates.

The present invention discloses a cloud-edge-end cooperative control method of a 5G networked UAV for security rescue, including: an image acquisition step: performing, by a single-chip microcomputer, attitude resolution on data acquired by a detection sensor, to obtain image data; a sparse landmark map building step: performing, by a control platform, front-end feature point matching, local map building and optimization, loopback detection, and frame resolution on the image data, to generate a sparse landmark map; a three-dimensional dense map building step: generating, by an edge cloud, a three-dimensional dense map based on a key frame pose and key frame observation data of the sparse landmark map; a high-precision semantic map building step: obtaining a high-precision semantic map; and a UAV movement step: adjusting, by the driving mechanism, a pose of the UAV according to the three-dimensional dense map or the high-precision semantic map.

A system identifies strong features in conjugate digital images and correlates the conjugate digital images for an identification of candidate tie points using only portions of the conjugate digital images that include the strong features.

A parking management method includes detecting whether there is a vehicle approaching a parking management device in a parking space, capturing images of the vehicle when the vehicle is detected approaching the parking management device, identifying feature information of the vehicle in the captured images, determining whether the vehicle matches the parking space according to the feature information, controlling a lifting mechanism to change from a raised state to a lowered state when the vehicle matches the parking space, and establishing a pairing connection between the parking management device and a mobile terminal.

Lighting conditions affect quality of images being captured. In traditional systems, illuminators (light sources) are used to illuminate the objects without considering illumination levels at different zones/sides of an object being photographed. As a result, all illuminators may run at maximum capacity, resulting in wastage of power and compromising efficiency of the system. The disclosure herein generally relates to illumination of objects, and, more particularly, to a method and system for adaptive illumination of objects. The system determines illumination at different zones of the object, and further identifies zones that are not illuminated properly in comparison with a threshold of illumination. Further the system controls intensity of only the illuminators which are responsible for illumination of the zones in which measured illumination is below a threshold of illumination, and increases the intensity by a value determined based on difference between measured illumination and the threshold of illumination, for each zone.

A feature point integration positioning system includes a moving object, an image input source, an analyzing module and a positioning module. The image input source is disposed at the moving object to shoot an environment for obtaining a sequential image dataset. The analyzing module includes a machine vision detecting unit configured to generate a plurality of first feature points in each of the images based on each of the images, a deep learning detecting unit configured to generate a plurality of second feature points in each of the images based on each of the images, and an integrating unit configured to integrate the first feature points and the second feature points in each of the images into a plurality of integrated feature points in each of the images. The positioning module confirms a position of the moving object relative to the environment at each of the time points.

The present disclosure provides a method, system, and terminal device for re-identifying a person in a closed place, relating to the field of video processing technologies. The method comprises: dividing a closed place into a plurality of regions comprising an entrance region, any of the regions comprising at least one camera for photographing; confirming a person first entering based on a trajectory tracking of the person in the entrance area, and assigning a unique identity number to the person, acquiring and recording feature information thereof and binding the identity number with the feature information; and when re-identification of a person in the closed place is performed, matching person's feature information captured by the camera of the region where the person is, with recorded feature information selecting the identity number bound with recorded feature information that best matches the feature information of the person as the identity number of the person.

Methods and systems for displaying an image of a medical procedure (e.g., an intraoperative image) with additional information (e.g., data) that can augment the image of the medical procedure are provided. Augmenting the image can include overlaying data from a first image to a second image. Overlaying the data can involve determining, for a point or multiple points in the first image, a matching location or multiple matching locations in a second image. The first image and the second image can be of a patient. Determining the matching location can involve using a rotation and scale invariant geometrical relationship. The matching locations can be used as the basis for the overlay.