Fitting procedural yarn models for realistic cloth rendering

A method comprising:

• configuring a multi-stage processing pipeline to generate a procedural yarn model by fitting procedural yarn model parameters to input data comprising computed tomography measurements of one or more actual yarn samples;
• executing one or more procedural yarn generation algorithms utilizing the procedural yarn model;
• and
• generating based at least in part on results of execution of the one or more procedural yarn generation algorithms at least one corresponding output image for presentation on a display;
• the multi-stage processing pipeline comprising:
• a first stage configured to perform ply twisting estimation and ply cross-sectional estimation on at least a portion of the input data corresponding to a given yarn sample having multiple twisted plies with each such ply comprising multiple fibers;
• a second stage configured to classify fibers of each of the plies into regular fibers and flyaway fibers;
• a third stage configured to process the regular fibers;
• and
• a fourth stage configured to process the flyaway fibers;
• wherein the third and fourth stages fit different sets of parameters of the procedural yarn model using the respective regular and flyaway fibers;
• and
• wherein the method is performed by at least one processing device comprising a processor coupled to a memory.

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes said at least one processing device:

• to configure a multi-stage processing pipeline to generate a procedural yarn model by fitting procedural yarn model parameters to input data comprising computed tomography measurements of one or more actual yarn samples;
• to execute one or more procedural yarn generation algorithms utilizing the procedural yarn model;
• and
• to generate based at least in part on results of execution of the one or more procedural yarn generation algorithms at least one corresponding output image for presentation on a display;
• the multi-stage processing pipeline comprising:
• a first stage configured to perform ply twisting estimation and ply cross-sectional estimation on at least a portion of the input data corresponding to a given yarn sample having multiple twisted plies with each such ply comprising multiple fibers;
• a second stage configured to classify fibers of each of the plies into regular fibers and flyaway fibers;
• a third stage configured to process the regular fibers;
• and
• a fourth stage configured to process the flyaway fibers;
• wherein the third and fourth stages fit different sets of parameters of the procedural yarn model using the respective regular and flyaway fibers.