University of North Carolina at Chapel Hill

Microsoft Technology Licensing, LLC

Ming Chieh Lin

John Michael Snyder

Nikunj Raghuvanshi

Naga Govindaraju

Zhimin Ren

Hengchin Yeh

Mark Stephen Foskey

Shan Yang

Marc Niethammer

Huai-Ping Lee

Methods, systems, and computer readable media for modeling garments using single view images are disclosed. According to one method, the method includes receiving an image depicting a person wearing at least one garment. The method also includes constructing a body model based on the person in the image and a template from a body model database. The method further includes constructing at least one garment model based on the at least one garment in the image and at least one template from a garment model database. The method also includes constructing a combined model based on the body model and the at least one garment model. The method further includes adjusting the combined model by modifying body pose parameters and determining garment material properties and sizing parameters.

Methods, systems, and computer readable media for modeling garments using single view images

Simulation-based estimation of elasticity parameters and use of same for non-invasive cancer detection and cancer staging are disclosed. According to one aspect, a method for simulation-based estimation of elasticity parameters includes constructing a 3D model of an object comprising biological tissue, the model having a first shape and an elasticity value. A simulation iteration is then performed, which includes simulating the application of an external force to the model, causing the model to have a second shape, measuring the difference between the second shape and a target shape, and determining whether the measured difference between the second shape and the target shape is within a threshold of error. If the measured difference is not within the threshold of error, the process performs additional iterations using adjusted elasticity or force values until the measured difference is within the threshold of error, at which time the final elasticity and force values are reported. In one embodiment, the elasticity value is mapped to a diagnostic parameter, such as an indication of the possibility, presence, or stage of cancer.

Simulation-based estimation of elasticity parameters and use of same for non-invasive cancer detection and cancer staging

Described herein are techniques pertaining to real-time propagation of an arbitrary audio signal in a fixed virtual environment with dynamic audio sources and receivers. A wave-based numerical simulator is configured to compute response signals in the virtual environment with respect to a sample signal at various source and receiver locations. The response signals are compressed and placed in the frequency domain to generate frequency responses. Such frequency responses are selectively convolved with the arbitrary audio signal to allow real-time propagation with moving sources and receivers in the virtual environment.

Real-time sound propagation for dynamic sources

The subject matter described herein includes methods, systems, and computer readable media for synthesizing sounds using estimated material parameters. According to one aspect, a method for sound synthesis using estimated material parameters is provided. The method includes at a computing platform including a memory and a processor, estimating, by the processor and based on a recorded audio sample of an impact on a physical object, one or more material parameters of a physical object for use in synthesizing a sound associated with a virtual object having material properties similar to the physical object. The method further includes storing the one or more material parameters in memory. The method further includes using the estimated material parameters to generate a synthesize sound for the virtual object.

Methods, systems, and computer readable media for synthesizing sounds using estimated material parameters

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Chapel Hill, NC, United States of America

Ming Chieh Lin