4results about How to "Achieve visual effects" patented technology

The application relates to the technical field of visual tracking, and discloses an AI vision-based bamboo-plastic packaging box tracking and positioning identification method, which comprises the following steps: performing scene light field analysis on an original image sequence of a bamboo-plastic packaging box to obtain environmental light field parameters; based on the material reflection characteristics of the bamboo-plastic packaging box, performing optical attribute extraction to obtain reflection characteristic parameters; based on the environmental light field parameters, performing optical response simulation on the reflection characteristic parameters of the bamboo-plastic packaging box to obtain visual samples; performing cross-domain feature alignment on the original image sequence and the visual samples to obtain joint feature expression; performing illumination interference decoupling on the joint feature expression to obtain illumination robust features; based on the illumination robust features, performing pose state evaluation on the spatial position and the attitude of the bamboo-plastic packaging box to obtain six-degree-of-freedom tracking and positioning data; and the application can improve the tracking and positioning identification efficiency of the bamboo-plastic packaging box.

The application relates to a panoramic image processing method and device, computer equipment, a medium and a program product. The method comprises the following steps: acquiring observation angles for observing a panoramic image at multiple preset time points; determining a first angle variation range according to N observation angles; determining an actual angle sampling range of the panoramic image according to a blur intensity parameter and the first angle variation range; sequentially extracting the N observation angles in the actual angle sampling range, and obtaining N observation images corresponding to the N observation angles in the panoramic image; wherein N is a positive integer; and calculating a target blur image according to the N observation images. The method can realize the blur effect of image additional residual image and the visual effect of a bionic human eye.

The present application relates to the technical field of virtual clothing recommendation, and specifically discloses a virtual clothing fitting recommendation method and system based on artificial intelligence, which establishes a cross-domain feature decoupling and alignment mechanism by fusing commodity standard images and user real-shot images, realizes the extraction and unified representation of the essential visual attributes of clothing, and fundamentally solves the problem of inconsistent clothing appearance caused by differences in shooting conditions. By constructing an environment-independent feature model and a domain-invariant feature space, the system can accurately measure the visual similarity of clothing in images from different sources, significantly improving the reliability and user trust of the recommendation results. The system realizes precise matching of the recommendation results and high-fidelity presentation of the virtual fitting effect, can accurately capture the fitting effect of clothing and individual form before the user makes a purchase decision, and realizes early identification and visual satisfaction of personalized needs.

The invention discloses an unattended processing system for multi-source remote sensing data, and relates to the technical field of remote sensing data processing. The system comprises an automatic production module, an intelligent management module, a cooperative control module and a three-stage storage pool, the automatic production module executes end-to-end large-scale processing from preprocessing to product generation on the multi-source remote sensing data based on a workflow template capable of being arranged, and supports parallel task level and data level; the intelligent management module realizes state awareness and self-adaptive resource scheduling through metadata driving and event monitoring; the cooperative control module serves as a center, provides a unified interface and manages configuration in a centralized mode. And the three-stage storage pool realizes automatic data circulation under the control of the system. Through event driving and intelligent scheduling, the whole-process unattended automatic processing of optical and radar remote sensing data from access to standard product output is realized, and the production efficiency, the system manageability and the expandability are remarkably improved.