TY - GEN
T1 - DEEPFOCAL
T2 - IEEE International Conference on Image Processing, ICIP 2015
AU - Workman, Scott
AU - Greenwell, Connor
AU - Zhai, Menghua
AU - Baltenberger, Ryan
AU - Jacobs, Nathan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/9
Y1 - 2015/12/9
N2 - Estimating the focal length of an image is an important preprocessing step for many applications. Despite this, existing methods for single-view focal length estimation are limited in that they require particular geometric calibration objects, such as orthogonal vanishing points, co-planar circles, or a calibration grid, to occur in the field of view. In this work, we explore the application of a deep convolutional neural network, trained on natural images obtained from Internet photo collections, to directly estimate the focal length using only raw pixel intensities as input features. We present quantitative results that demonstrate the ability of our technique to estimate the focal length with comparisons against several baseline methods, including an automatic method which uses orthogonal vanishing points.
AB - Estimating the focal length of an image is an important preprocessing step for many applications. Despite this, existing methods for single-view focal length estimation are limited in that they require particular geometric calibration objects, such as orthogonal vanishing points, co-planar circles, or a calibration grid, to occur in the field of view. In this work, we explore the application of a deep convolutional neural network, trained on natural images obtained from Internet photo collections, to directly estimate the focal length using only raw pixel intensities as input features. We present quantitative results that demonstrate the ability of our technique to estimate the focal length with comparisons against several baseline methods, including an automatic method which uses orthogonal vanishing points.
KW - camera calibration
KW - convolutional neural network
KW - focal length estimation
UR - https://www.scopus.com/pages/publications/84956683598
U2 - 10.1109/ICIP.2015.7351024
DO - 10.1109/ICIP.2015.7351024
M3 - Conference contribution
AN - SCOPUS:84956683598
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1369
EP - 1373
BT - 2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PB - IEEE Computer Society
Y2 - 27 September 2015 through 30 September 2015
ER -