9 results about "Near sight" patented technology

The application discloses a kind of dynamic ring vision splicing method and system based on image overlap area feature perception, method includes based on the depth information and the feature information dynamic planning splicing path;According to the splicing path of planning, image splicing is executed, including the multi-band image fusion based on depth perception.The present application extracts local and global features of the overlapping area and calculates pixel-level depth information, constructs a geometric transformation model optimized by feature-depth combination, so that panoramic stitching can accurately identify the outline of close-range objects, and dynamically plan the optimal stitching line to bypass prominent objects;By searching the distance splicing template based on the real distance and automatically unifying the focal length of each camera, the field of view range is kept consistent;Through the multi-scale depth estimation network guided by features and joint reprojection error optimization, high-precision registration can still be maintained in scenes with few feature points or low overlap areas.

The present application relates to the technical field of lighting control, in particular to a landscape lighting dynamic control method based on environment perception data, the present application collects the reflected light radiation of the lighting object at the preset observation position, and compares the reflected light radiation with the reference radiation to obtain the reflected light radiation deviation rate; the surface optical state of the lighting object is identified according to the time series change trend of the deviation rate, and the intermediate state hosting mode is entered during the state transition; after completing the surface optical state switching, the corresponding projection adjustment parameter is obtained by searching the state-projection geometric relationship database; at the same time, hierarchical power compensation control is performed based on the brightness contribution proportion of the near, middle and far layers to generate device control instructions. The method can improve the adaptability of landscape lighting to environmental changes, enhance the visual level coordination and lighting stability.

The present application relates to a kind of pronghorn identification system, method, processing device and storage medium based on video tracking, the system includes: data input interface, for receiving the video or image data stream from one or more camera equipment;Data type judging module is used to judge the data type of video or image data stream based on the meta information of video or image data stream;Refinement individual analysis channel is used to accurately track the individual of pronghorn in video or image data stream, trajectory optimization and behavior analysis are carried out to near view data, and the refinement individual analysis result of pronghorn is obtained;Macroscopic group analysis channel is used to carry out population statistics and rhythm analysis to long-range or aerial data in video or image data stream, and the macroscopic group analysis result of pronghorn is obtained;Data output interface is used to output the refinement individual analysis result and macroscopic group analysis result of pronghorn, the present application can be widely applied in computer vision and intelligent monitoring technical field.

The invention relates to the technical field of optical lenses, provides an optical lens, a camera module and electronic equipment, and can solve the problem that a focusing lens group is easy to collide in a focusing process when an optical lens in the related technology is in a long-focus state. The optical lens comprises a front lens group, a first lens group and a second lens group which are arranged in a direction from an object side to an image side, the focal power of the front lens group and the second lens group is negative, and the focal power of the first lens group is positive; when the optical lens is in a short-focus state, the front lens group and the second lens group are kept relatively fixed in the direction of the optical axis of the lens, and the first lens group can move along the optical axis of the lens, so that the optical lens is switched between a focusing close shot and a focusing long shot; when the optical lens is in a long-focus state, the front lens group and the first lens group are kept relatively fixed in the direction of the optical axis of the lens, and the second lens group can move along the optical axis of the lens, so that the optical lens is switched between a focusing close shot and a focusing long shot. The method can be applied to electronic equipment such as a mobile phone.

The application provides a wide-temperature-range large-target high-definition double-band lens, which first relies on a focusing group movable along an optical axis, can effectively compensate for optical deviation caused by temperature deformation, and ensures that the equipment always maintains stable image surface under a wide temperature environment of-55 DEG C to 85 DEG C and a close-range shooting working condition. Meanwhile, the filter group assembled on the wheel type switching mechanism can rotate and switch different functional filters according to the use requirement, can not only perform optical filtering and polarization processing on the incident light, but also can quickly switch various imaging modes, and fully meets the use requirement of various differentiated and complicated imaging scenes. In addition, the focusing group and the rear fixed group form optical cooperation and cooperative operation, and can comprehensively guarantee that the wide-temperature-range large-target high-definition double-band lens presents high-quality high-definition double-band imaging effect under the large-target specification.

This invention discloses an eye pose recognition method based on close-range photogrammetry, comprising: step 101, locating facial feature points in two images from two binocular cameras; step 102, using the facial feature points from the two images as corresponding points, recovering the three-dimensional coordinates of the facial feature points using close-range photogrammetry and the least squares algorithm; step 103, extracting the three-dimensional coordinates of the eye region feature points and reprojecting them onto the XOY plane; step 104, calculating the head pose angle using the three-dimensional coordinates of the facial feature points, and using the head pose angle to correct the EAR value. Beneficial effects: The EAR value calculated based on the projection of the three-dimensional coordinates onto the XOY plane does not need to consider the error caused by the yaw angle. Furthermore, by using the three-dimensional coordinates of the facial feature points to calculate the head pose angle to correct the EAR value, the EAR value does not change significantly regardless of the change in the pitch angle γ between two consecutive frames, thus providing a good indication of the eye state.

The present application relates to the technical field of optical lenses, and provides an optical lens, a camera module, and an electronic device, which can solve the problem in the related art that a focusing lens group is prone to collision during focusing when an optical lens is in a telephoto state. The optical lens comprises a front lens group, a first lens group, and a second lens group which are arranged along a direction from an object side to an image side; the optical power of the front lens group and the second lens group is negative, and the optical power of the first lens group is positive; when the optical lens is in a short-focus state, the front lens group and the second lens group remain relatively fixed along the optical axis of the lens, and the first lens group can move along the optical axis of the lens, so that the optical lens is switched between near focus and far focus; when the optical lens is in a telephoto state, the front lens group and the first lens group remain relatively fixed along the optical axis of the lens, and the second lens group can move along the optical axis of the lens, so that the optical lens is switched between near focus and far focus. The present application can be applied to electronic devices such as mobile phones.

A robot head assembly and a robot, relating to the field of artificial intelligence, are disclosed. The robot head assembly includes a head support, a LiDAR, a first camera, and multiple second cameras. The LiDAR, the first camera, and the multiple second cameras are all mounted on the head support, with the multiple second cameras arranged at intervals along the circumference of the head support. The first camera is used to acquire near-field images and their depth. The multiple second cameras are used to acquire far-field images and, in conjunction with the LiDAR, acquire the depth of the far-field images. This expands the field of view, improves the perception of the surrounding environment, enhances motion accuracy, and makes movement more stable and reliable.

The application provides a kind of ancient building crack marking method and device based on multi-view, belong to image recognition field, the method includes: obtaining the close-range image containing crack and multiple long-range image sequences;Extract crack pixel coordinates;Calculate the homography matrix between close-range image and each long-range image, crack pixel coordinates in close-range image are mapped to long-range image, generate long-range image with crack marking, and long-range image with crack marking replaces original long-range image, forms new long-range image sequence;Based on new long-range image sequence, three-dimensional reconstruction is carried out, and the three-dimensional point cloud model of ancient building with crack marking is generated;Unified reference coordinate system is established, and the spatial position information of crack is extracted, to realize the spatial positioning marking of crack. In this way, the advantages of close-range high-precision detection and long-range global positioning are effectively integrated, while ensuring the crack detection accuracy, the crack is marked and positioned from two-dimensional to three-dimensional.