Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

2 results about "3D computer graphics" patented technology

3D computer graphics, or three-dimensional computer graphics (in contrast to 2D computer graphics), are graphics that use a three-dimensional representation of geometric data (often Cartesian) that is stored in the computer for the purposes of performing calculations and rendering 2D images. The resulting images may be stored for viewing later (possibly as an animation) or displayed in real time.

Martial Arts Movement Recording Output System

InactiveJP2026084392ASport apparatus3D computer graphicsHuman–computer interaction
This system provides a mechanism for accurately and easily recording competitive movements in combat sports such as boxing, where striking is the primary method of attack, allowing athletes to efficiently recall those movements during shadow boxing or other practice sessions at a later date, thereby enhancing learning effectiveness. [Solution] A system was devised that uses musical notation, called "Kenfu," to record the movements of martial arts. The system inputs the movements during the competition through an interface, through image recognition of handwritten Kenfu, or through analysis of competition videos, and outputs the movements by reproducing them with 3D computer graphics and communicating them with sound.
Owner:花房 孟胤

3D printing model construction method based on multi-modal condition guidance

The invention relates to the technical field of three-dimensional computer graphics and artificial intelligence, in particular to a multi-modal condition guidance-based 3D printing model construction method, which specifically comprises the following steps of: S1, constructing a basic model by taking an open source model as a backbone network architecture; s2, constructing a submerged space diffusion model constrained by view angle parameters; s3, constructing a pairing data set; s4, training the submerged space diffusion model based on the paired data set; s5, receiving a text prompt input by a user, and defining a group of standard view angle parameter sequences required by the 3D printing model; s6, generating a corresponding 2D image for each visual angle parameter in the sequence; and S7, outputting a 3D printing model. The method is realized through a two-stage method: firstly, generating a multi-view image with geometric consistency through an injection view angle condition; and then introducing ray confidence regularization loss in three-dimensional reconstruction to eliminate geometric artifacts and form a clear surface boundary.
Owner:CHONGQING YINGJIAJIA DIGITAL MEDIA CO LTD +1