POINT CLOUD PROCESSING METHOD AND COMPUTING DEVICE USING SAME

• US 20160117856A1
• Filed: 06/25/2015
• Published: 04/28/2016
• Est. Priority Date: 10/28/2014
• Status: Abandoned Application

• Current Assignee: Futaihua Industry (Shenzhen) Co., Ltd. (Hon Hai Precision Industry Co., Ltd.), Hon Hai Precision Industry Co., Ltd.
• Original Assignee: Futaihua Industry (Shenzhen) Co., Ltd. (Hon Hai Precision Industry Co., Ltd.), Hon Hai Precision Industry Co., Ltd.
• Inventors: CHANG, CHIH-KUANG, WU, XIN-YUAN, FU, SU-YING, YANG, ZONG-TAO
• Application Number:
  US14/750,252
• Publication Number:
  US 20160117856A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06T 15/00 3D [Three Dimensional] image rendering
• CPC Class Codes: G06T 2210/12 Bounding box

Abstract

A point cloud processing method is provided. The method includes: depicting, at a computing device, a three-dimensional image based on a point cloud data set; converting, at the computing device, the three-dimensional image to a two-dimensional image; dragging, at the computing device, a brush to form a coverage are; determining, at the computing device, whether a point is within the coverage area by comparing coordinates of each point in the two-dimensional image with coordinates of area boundary of the coverage area; and painting, at the computing device, the point within the coverage area to specific color.

Claims

1. A point cloud processing method, comprising:

depicting, at a computing device, a three-dimensional image based on a point cloud data set;

converting, at the computing device, the three-dimensional image to a two-dimensional image;

dragging, at the computing device, a brush to form a coverage are;

determining, at the computing device, whether a point is within the coverage area by comparing coordinates of each point in the two-dimensional image with coordinates of area boundary of the coverage area; and

painting, at the computing device, the point within the coverage area to specific color.

2. The method according to claim 1, wherein if coordinate (Xa, Ya) of a random point A satisfies:

X_min≦

X_a≦

X_max and Y_min≦

Y_a≦

Y_max, the random point A is determined to be within the coverage area, wherein X_max, X_min respectively represent a maximum value and a minimized value in X and Y axis of the coordinates of the area boundary of the 2-D image.

3. The method according to claim 1, wherein if coordinate (Xa, Ya) of a random point A does not satisfy:

X_min≦

X_a≦

X_max and Y_min≦

Y_a≦

Y_max, the random point A is determined to be outside the coverage area, wherein X_max, X_min respectively represent a maximum value and a minimized value in X and Y axis of the coordinates of the area boundary of the 2-D image.

4. The method according to claim 1, wherein converting from the three-dimensional image to the two-dimensional image is performed by coordinate conversion which comprises coordinate conversion from a world coordinate system to an image coordinate system.

5. The method according to claim 4, wherein the conversion comprises converting from a world coordinate system to a camera coordinate system, coordinate conversion from the camera coordinate system to a projection coordinate system, and conversion from the projection coordinate system to an image coordinate system.

6. A computing device, comprising:

a storage device configured to store instructions; and

a processor configured to execute instructions to cause the processor to;

depict a three-dimensional image based on a point cloud data set;

convert the three-dimensional image to a two-dimensional image;

drag a brush to form a coverage are;

determine whether a point is within the coverage area by comparing coordinates of each point in the two-dimensional image with coordinates of area boundary of the coverage area; and

paint the point within the coverage area to specific color.

7. The computing device according to claim 6, wherein if coordinate (Xa, Ya) of a random point A satisfies:

X_min≦

X_a≦

X_max and Y_min≦

Y_a≦

Y_max, the random point A is determined to be within the coverage area, wherein X_max, X_min respectively represent a maximum value and a minimized value in X and Y axis of the coordinates of the area boundary of the 2-D image.

8. The computing device according to claim 6, wherein if coordinate (Xa, Ya) of a random point A does not satisfy:

X_min≦

X_a≦

X_max and Y_min≦

Y_a≦

Y_max, the random point A is determined to be outside the coverage area, wherein X_max, X_min respectively represent a maximum value and a minimized value in X and Y axis of the coordinates of the area boundary of the 2-D image.

9. The computing device according to claim 6, wherein converting from the three-dimensional image to the two-dimensional image is performed by coordinate conversion which comprises coordinate conversion from a world coordinate system to an image coordinate system.

10. The computing device according to claim 6, wherein the conversion comprises converting from a world coordinate system to a camera coordinate system, coordinate conversion from the camera coordinate system to a projection coordinate system, and conversion from the projection coordinate system to an image coordinate system.

11. The computing device according to claim 6, wherein the instructions further cause the processor to:

store the coordinates of the three-dimensional image in the storage device.

12. The computing device according to claim 6, wherein the instructions further cause the processor to:

store the coordinates of the two-dimensional image in the storage device.