Hong Kong Applied Science and Technology Research Institute Company, Limited

The Hong Kong Polytechnic University

Chun Li

Xueyan Tang

Suk Ling Li

Jia You

Zhenhua Guo

Qin Li

Chongshan Liu

Qiang Sun

Computer implemented methods and computerized apparatus for identifying planes of a 3D object in a 3D scene are provided. The method comprises receiving a point cloud and performs plane segmentation. In one embodiment, the point cloud is voxelized into a plurality of voxels of equal dimensions and the plurality of voxels are classified into three categories, wherein each first category voxel satisfies a planar requirement and a first neighborhood constraint, each second category voxel satisfies the planar requirement and a second neighborhood constraint, and each third category voxel does not satisfy the planar requirement. The method further comprises generating at least one reference plane from the first category voxels by first identifying a first category anchor voxel and recruiting its neighboring first category voxels to this at least one reference plane; and growing the at least one reference plane by absorbing second category voxels connecting to the at least one reference plane if they satisfy a voxel merging requirement and absorbing points in the third category voxels connecting to the at least one reference plane if they satisfy a point merging requirement. Then the set of at least one reference plane is used to represent the 3D object for further applications.

Method and apparatus for identifying planes of objects in 3D scenes

A fundus camera using infrared light sources, which included an imaging optical path and an optical path for focusing and positioning and two optical paths share a common set of retina objective lens, and a computer-assisted method for retinal vessel segmentation in general and diabetic retinopathy (DR) image segmentation in particular. The method is primarily based on Multiscale Production of the Matched Filter (MPMF) scheme, which together the fundus camera, is useful for non-invasive diabetic retinopathy detection and monitoring.

Apparatus and method for non-invasive diabetic retinopathy detection and monitoring

Growing community of inventors

Hong Kong, China

Chun Li