Title | ||
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Planar surface area transformation and calculation using camera and orientation sensor |
Abstract | ||
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This research presents a planar area calculation method, focusing on image warping to top view. An orientation sensor attached to a camera is used to acquire the camera's orientation in real time. In practice, alignment between camera and sensor is imperfect. Therefore, calibration between camera and sensor is addressed using Iterative Least Square method. Then, extrinsic parameters derived from the calibrated sensor and pre-computed intrinsic parameters will be used to generate homography matrix. Homography matrix and a separately required translation matrix will be used to generate a top view image. In the top view image, we can directly count the number of target pixel. Finally, the number of pixel is converted to area size in real-world unit. |
Year | DOI | Venue |
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2012 | 10.1007/978-3-642-33515-0_65 | ICIRA |
Keywords | Field | DocType |
square method,top view image,top view,extrinsic parameter,translation matrix,orientation sensor,target pixel,planar area calculation method,area size,homography matrix,planar surface area transformation | Computer vision,Image warping,Camera interface,Camera auto-calibration,Camera resectioning,Homography,Artificial intelligence,Pixel,Camera matrix,Mathematics,Homography (computer vision) | Conference |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Miti Ruchanurucks | 1 | 42 | 5.40 |
Surangrak Sutiworwan | 2 | 0 | 0.34 |
Pongthorn Apiroop | 3 | 0 | 0.34 |