Detecting Photographic Cropping Based on Vanishing Points

MENG Xianzhe; NIU Shaozhang; YAN Ru; LI Yezhou

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Article Navigation > Chinese Journal of Electronics > 2013 > 22(2): 369-372

MENG Xianzhe, NIU Shaozhang, YAN Ru, et al., “Detecting Photographic Cropping Based on Vanishing Points,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 369-372, 2013,

Citation:

MENG Xianzhe, NIU Shaozhang, YAN Ru, et al., “Detecting Photographic Cropping Based on Vanishing Points,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 369-372, 2013,

MENG Xianzhe, NIU Shaozhang, YAN Ru, et al., “Detecting Photographic Cropping Based on Vanishing Points,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 369-372, 2013,

Citation:

MENG Xianzhe, NIU Shaozhang, YAN Ru, et al., “Detecting Photographic Cropping Based on Vanishing Points,” Chinese Journal of Electronics, vol. 22, no. 2, pp. 369-372, 2013,

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Detecting Photographic Cropping Based on Vanishing Points

1.
School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2.
Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing 100876, China;
3.
School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61070207).

Received Date: 2012-04-01
Rev Recd Date: 2012-05-01
Publish Date: 2013-04-25

Abstract

Abstract

Cropping is a common form of manipulation, it is indiscernible and hard to detect, since the interception will not destroy most of the image's original features. In this paper, how to detect cropping according to a single image is described, and a new camera calibration algorithm into digital forensics is proposed, which conducts the calibration according to orthometric vanishing points. Our method can estimate the principal point according to a single image, science the vanishing points only depends on the direction of the object. Experiments show that our method can identify asymmetric cropping of the image effectively, and also can estimate the principal points precisely, besides it is robust to smoothing and noise.
- Image forensics,
- Camera calibration,
- Vanishing point

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References(16)

References

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