Name
Abstract | ||
|---|---|---|
In this paper, we propose a new camera calibration method for 3D-based image synthesis and 3D reconstruction. We improve the problem by changing the principle point for obtaining the linear equation. According to the error rate, we adapt the non-linear method that minimizes the intrinsic parameters. Namely, it minimizes the intrinsic parameters error by maintaining the computational conciseness. As a result, we can find optimized camera intrinsic parameters and adapt them for image synthesis and reconstruction. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553939_31 | KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III |
Keywords | Field | DocType |
adaptive nonlinear parameter error minimization method,optimisation,calibration,new camera calibration method,image matching,3d-based image synthesis,intrinsic parameter,error minimization method,image synthesis,projective factorization,non-linear method,3d image reconstruction,computational conciseness,adaptive signal processing,error rate,uncalibrated images,optimized camera,image reconstruction,image sequences,camera calibration method,stereo image processing,stereoscopic image matching,intrinsic parameters error,uncalibrated image,camera intrinsic parameter optimization,3d reconstruction,linear equations,camera calibration | Iterative reconstruction,Computer vision,Linear equation,Computer science,Word error rate,Image processing,Focal length,Camera resectioning,Adaptive filter,Artificial intelligence,3D reconstruction | Conference |
Volume | ISSN | ISBN |
3683 | 0302-9743 | 3-540-28896-1 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanghoon Kim | 1 | 290 | 42.00 |
| Tae-Eun Kim | 2 | 461 | 90.78 |
| Malrey Lee | 3 | 197 | 41.30 |
| Jong-Soo Choi | 4 | 147 | 30.10 |