Koninklijke Philips Corporation N.v.

Praveen Kumar Pandian Shanmuganathan

Jonathan Sayer Grashow

Richard Andrew Sofranko

Elizabeth Powell Margaria

Robert William Baiko

Anthony Vincent Startare

Daniel Steed

Ryan T Kasun

Melissa Sue Ross

Michael Lashinsky

Kevin Anthony Coldren

A method of identifying a particular mask for a patient for use in delivering a flow of breathing gas to the patient is carried out by first receiving a 2-D frontal image of the patient. Next, 3-D facial information of the patient is determined from the 2-D frontal image. At least some of the 3-D facial information is compared with dimensional information of a plurality of candidate masks. Finally, the particular mask for the patient is determined from a result of the comparison of the at least some of the 3-D facial information and the dimensional information of the plurality of candidate masks.

Determining 3-D facial information of a patient from a 2-D frontal image of the patient

A system for capturing a 3D image of a subject includes a detection device which is structured to capture images of the subject and surrounding environment, a projection device which is structured to provide a source of structured light, and a processing unit in communication with the detection device and the projection device. The processing unit is programmed to: analyze an image of the subject captured by the detection device; modify one or more of: the output of the projection device or the intensity of a source of environmental lighting illuminating the subject based on the analysis of the image; and capture a 3D image of the subject with the detection device and the projection device using the modified one or more of the output of the projection device or the intensity of the source of environmental lighting illuminating the subject.

System and method for 3D scanning

A method of identifying a particular mask for a patient for use in delivering a flow of breathing gas to the patient includes capturing with a visual presentation and interaction component a plurality of images of the patient; receiving with the visual presentation and interaction component a number of responses from the patient to questions presented to the patient, eliminating one or more masks from a pool of potential masks for the patent based on at least one of the responses, utilizing at least some images of the plurality of images to determine the particular mask for the patient from the pool of potential masks, and identifying the particular mask to the patient.

Patient sleep therapy mask selection tool

A method of creating a 3D model of a physical object includes adaptively and iteratively generating a number disparity maps from image data representing a plurality of images of the physical object iteratively captured by a plurality of cameras having electrically adjustable focal lengths by varying at least one of the focal lengths of the plurality of cameras and a distance of the physical object from the plurality of cameras during capture of the images until one of the disparity maps is determined to have a least a threshold level of disparity, and converting the one of the disparity maps into the 3D model.

Creating a 3D model using two or more cameras with variable focal lengths

A method for identifying a mask for a patient includes: receiving a plurality of images of a patient's face; analyzing the plurality of images to generate a temporal model of the patient's face, determining a mask for the patient using the temporal model of the patient's face, and identifying the mask to the patient.

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Monroeville, PA, United States of America

Praveen Kumar Pandian Shanmuganathan