Zhejiang University

Faceunity Technology Co., Ltd.

Hongzhi Wu

Kun Zhou

Kaizhang Kang

Xiaohe Ma

A freestyle acquisition method for a high-dimensional material, belonging to the field of computer graphics and computer vision. The learning of material information is transformed into a geometric learning problem on an unstructured point cloud, and a plurality of acquisition results in different lighting and view directions form a high-dimensional point cloud, each point in the point cloud being a vector formed by an image measurement value and pose information of an object during image capture. According to the method, information of unstructured views can be effectively aggregated from the high-dimensional point cloud which is disordered, irregular, uneven in distribution and limited in precision, and the material attribute with high quality is reconstructed.

Freestyle acquisition method for high-dimensional material

A method for obtaining a normal vector, a geometry and a material of a three-dimensional object based on a neural network is provided. The present disclosure provides, based on an idea of 'actively irradiating an object with a number of specific patterns, capturing photos at the same time, and obtaining a normal vector of an object by calculating the obtained photos', an acquisition method combined with a neural network. Further, the method uses the obtained normal vector to optimize a model of the object. This method can also obtain material feature information while obtaining the normal vector. Finally, a high-quality geometric result and a high-quality material acquisition result are obtained jointly. The number of illumination patterns obtained by using this method is small, and the normal vector obtained by the method has high accuracy and the method is not limited to a specific acquisition device.

Growing community of inventors

Hangzhou, China

Hongzhi Wu