Zhengyou Zhang. A exible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330--1334, 2000. 11  Home/Search Document Not in Database Summary Related Articles Check |
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What If Cameras Could See Themselves? - Weinshall, Lee, Cohen-Solal.. (2002) (Correct)
....the photogrammetry community; its main advantage is the potential for high precision and robust reconstruction. Its drawbacks include: expert assistance the calibration process is typically tedious, requiring an expert operator, and the availability of a very precise calibration pattern (but see [26] for a less tedious method) in exibility once the cameras are calibrated they cannot be moved and internal parameters cannot be changed; high cost this approach typically requires an elaborate setup and expensive calibration equipment, while imposing high computational load since solving ....
Z. Zhang. A exible new technique for camera calibration. Technical report, msr-tr-98-71, Microsoft Research, Mircrosoft Corporation, One Microsoft Way, Redmond, WA 98052, 1998. 21
Optimal Motion Estimation from Multiple Images by.. - Ma, Vidal, Hsu, Sastry (2001) (3 citations) (Correct)
....image pairs of the sequence is calculated. From the experimental results, it appears that motion estimates with an average distance greater than 1 pixel are generally poor. 7.1.6. Camera Calibration. The camera is calibrated from a set of planar feature points using Zhang s technique described in [21]. The calibration board is shown in Figure 7.1. The pattern consists of 70 squares, giving a total of 280 corners. The corners are tracked through all four images. The camera is moved with unknown rotation and translation between each image. The estimated calibration values were consistent through ....
Z. Zhang, A exible new technique for camera calibration. Microsoft Technical Report MSRTR -98-71, Dec. 1998.
Optimal Motion Estimation from Multiple Images by.. - Ma, Vidal, Hsu, Sastry (2001) (3 citations) (Correct)
....distance greater than 1 pixel are generally poor. 68 Y. MA, R. VIDAL, S. HSU, AND S. SASTRY Frame 1 Frame 2 Frame 3 Frame 4 Fig. 7.1. Four images of the calibration board. 7.1.6. Camera Calibration. The camera is calibrated from a set of planar feature points using Zhang s technique described in [21]. The calibration board is shown in Figure 7.1. The pattern consists of 70 squares, giving a total of 280 corners. The corners are tracked through all four images. The camera is moved with unknown rotation and translation between each image. The estimated calibration values were consistent through ....
Z. Zhang, A exible new technique for camera calibration. Microsoft Technical Report MSRTR -98-71, Dec. 1998.
Model-based Head Pose Tracking with Stereovision - Yang, Zhang (2001) (1 citation) Self-citation (Zhang) (Correct)
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Zhengyou Zhang. A exible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330--1334, 2000. 11
Camera Calibration with One-Dimensional Objects - Zhang (2002) (3 citations) Self-citation (Zhang) (Correct)
....translation is also used [19] which equivalently provides 3D reference points. This approach requires an expensive calibration apparatus and an elaborate setup. 2D plane based calibration. Techniques in this category requires to observe a planar pattern shown at a few different orientations [22, 17]. Different from Tsai s technique [19] the knowledge of the plane motion is not necessary. Because almost anyone can make such a calibration pattern by him her self, the setup is easier for camera calibration. Self calibration. Techniques in this category do not use any calibration object, and ....
....image of the planar pattern used for camera calibration. nonlinear minimization. For the image skew parameter #, we also provide the angle between the image axes in parenthesis (it should be very close to 90 # ) For comparison, we also used the plane based calibration technique described in [22] to calibrate the same camera. Five images of a planar pattern were taken, and one of them is shown in Fig. 4. The calibration result is shown in the third row of Table 1. The fourth row displays the relative difference between the plane based result and the nonlinear solution with respect to the ....
Z. Zhang. A exible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(11):1330--1334, 2000. 12
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