Fuel 3d Technologies Limited

Resmed Sensor Technologies Limited

Biontech Se

Leonardo Rubio Navarro

Adeala Zabair

Chris Kane

James Klatzow

Anna Chabokdast

Marian Elizabeth Harrington

Peter John Myerscough-Jackopson

A method is proposed for identifying ('segmenting') at least one portion of the skin of an animal which is a region of interest (e.g. a portion which is subject to an abnormality such as a tumor). The method uses at least a temperature dataset obtained by measuring the temperature of each of a plurality of points of a region of the skin. An initial segmentation may be performed using the temperature data based on a statistical model, in which each point is segmented based on its temperature and optionally that of its neighbors. The initial segmentation based on the temperature data may be improved using a three-dimensional model of the profile of the skin, and the enhanced segmentation may be used to improve the three-dimensional model.

Systems and methods for segmentation and measurement of a skin abnormality

A method for generating a three-dimensional model of a head including at least a portion of a face, comprising: obtaining a distance image of the head using a distance-measuring device having an imaging position, the distance image comprising for each of a two-dimensional array of distance pixels, a respective distance value indicating a distance from the measuring position to a corresponding point in a field of view of the distance-measuring device, the distance image including a face portion corresponding to the at least a portion of a face; estimating the position, relative to the imaging position, of a longitudinal axis of the model of the head based on the at least one dimension; based on the longitudinal axis, generating the three dimensional model of the head based on the position of the longitudinal axis.

Method for generating a 3D model

A 3D imaging system is proposed in which an object is successively illuminated in at least three directions and at least three images of the object are captured by one or more energy sensors. A set of images is produced computationally showing the object from multiple viewpoints, and illuminated in the at least three directions simultaneously. This set of images is used stereoscopically to form an initial 3D model of the object. Variations in the brightness of the object provides features useful in the stereoscopy. The initial model is refined using photometric data obtained from images in which the object is illuminated in the at least three directions successively.

Systems and methods for forming models of three-dimensional objects

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Oxford, United Kingdom

Leonardo Rubio Navarro