TARGET DETECTING, EDITING AND REBUILDING METHOD AND SYSTEM BY 3D IMAGE

• US 20090161944A1
• Filed: 02/27/2008
• Published: 06/25/2009
• Est. Priority Date: 12/21/2007
• Status: Active Grant

• Current Assignee: Industrial Technology Research Institute
• Original Assignee: Industrial Technology Research Institute
• Inventors: Chen, Liang-Chien, Rau, Jiann-Yeou, Liu, Jin-King, Shao, Yi-Chen, LAU, Chi-Chung, Chen, Ta-Ko, Hsiao, Kuo-Hsin
• Granted Patent: US 8,208,715 B2
• Time in Patent Office: Days
• US Class Current: 382/154
• CPC Class Codes: G06V 20/176 Urban or other man-made structures

Abstract

A method and system for target detecting, editing and rebuilding by 3D image is provided, which comprises an inputting and picking unit, a training and detecting unit, a displaying and editing unit and a rebuilding unit. The inputting and picking unit receives a digital image and a LiDAR data and picks up a first parameter to form a 3D image. The training and detecting unit selects a target, picks up a second parameter therefrom, calculates the second parameter to generate a threshold and detects the target areas in the 3D image according to the threshold. The displaying and editing unit sets a quick selecting tool according to the threshold and edits the detecting result. The rebuilding unit sets a buffer area surrounding the target, picks up a third parameter therefrom and calculates the original shape of the target by the Surface Fitting method according to the third parameter.

Claims

1. An automatic 3D target detecting method, comprising steps of:

receiving a digital image and a LiDAR (Light Detection And Ranging) datum and picking a first parameter therefrom;

generating a 3D image according to the first parameter;

selecting a target in the 3D image and picking a second parameter thereof;

calculating the second parameter for generating a threshold of the target; and

automatically detecting the 3D image and selecting an area reaching the threshold therein.

2. An automatic 3D target detecting method in claim 1, wherein the first parameter includes at least one of a visible band, a DSM (Digital Surface Model), a DEM (Digital Elevation model) and an OHM (Object Height Model).

3. An automatic 3D target detecting method as claimed in claim 2, wherein the second parameter includes at least one of a roughness, a slope, an object height and a visible band.

4. An automatic 3D target detecting method as claimed in claim 1, wherein the digital image is one of a digital aerial photo and a digital satellite image.

5. An automatic 3D target detecting method as claimed in claim 1, wherein the target is a landslide image.

6. A 3D image editing method, comprising steps of:

receiving a digital image and a LiDAR datum to generate a 3D image;

selecting a target in the 3D image and picking a parameter thereof;

generating a selecting tool with a dilate searching function according to the parameter; and

performing at least one of adding, deleting and editing the target in the 3D image by using the selecting tool.

7. A 3D image editing method as claimed in claim 6, wherein the parameter includes at least one of a roughness, a slope, an object height and a visible band.

8. A 3D image editing method as claimed in claim 6, wherein the target is a landslide image.

9. A 3D image rebuilding method, comprising steps of:

receiving a digital image and a LiDAR datum to generate a 3D image;

selecting a target in the 3D image;

generating a buffer area around the target and picking a parameter thereof; and

performing a surface fitting calculation according to the parameter for rebuilding an original state of the target.

10. A 3D image rebuilding method as claimed in claim 9, wherein the parameter includes a DEM (Digital Elevation Model) and a boundary vector datum.

11. A 3D image rebuilding method as claimed in claim 9, wherein the surface fitting calculation is performed by using a surface function.

12. A 3D image rebuilding method as claimed in claim 11, wherein the surface function is selected from a group consisting of a Planar surface function, a Bi-linear surface function, a Quadratic surface function, a Bi-quadratic surface function, a Cubic surface function and a Bi-cubic surface function.

13. A 3D image rebuilding method as claimed in claim 9, wherein the digital image is one of a digital aerial photo and a digital satellite image.

14. A 3D image rebuilding method as claimed in claim 9, wherein the target is a landslide image.

15. A target detecting, editing and rebuilding system by 3D image, comprising:

an inputting and acquiring unit receiving a digital image and a LiDAR (Light Detection And Ranging) datum and picking a first parameter therefrom to generate a 3D image;

a training and detecting unit connected with the inputting and acquiring unit for selecting a target in the 3D image, picking a second parameter thereof, calculating the second parameter to generate a threshold thereof, detecting the 3D image and selecting an area similar thereto according to the threshold;

a displaying and editing unit connected with the training and detecting unit for establishing a selecting tool according to the threshold to perform at least one of adding, deleting and editing the area; and

a rebuilding unit connected with the displaying and editing unit for establishing a buffer area around the target, picking a third parameter thereof and performing a surface fitting calculation according to the third parameter to rebuild an original state of the target.

16. A target detecting, editing and rebuilding system as claimed in claim 15, wherein the first parameter includes a visible light frequency band, a DSM (Digital Surface Model), a DEM (Digital Elevation model) and an OHM (Object Height Model).

17. A target detecting, editing and rebuilding system as claimed in claim 15, wherein each of the second and the third parameters includes at least one of a roughness, a slope, an object height and a visible band.

18. A target detecting, editing and rebuilding system as claimed in claim 15, wherein the digital image is one of a digital aerial photo and a digital satellite image.

19. A target detecting, editing and rebuilding system as claimed in claim 15, wherein the target is a landslide image.

20. A target detecting, editing and rebuilding system as claimed in claim 15, wherein the surface fitting calculation is performed by using a surface function, which is selected from a group consisting of a Planar surface function, a Bi-linear surface function, a Quadratic surface function, a Bi-quadratic surface function, a Cubic surface function and a Bi-cubic surface function.