Geometric Camera Calibration Using Circular Control Points
By Janne Heikkilä. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
996 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/2bbfc8a84aaac5221e67a175dbaa3b6c32f6604d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Xiaogang Wang
- Juho Kannala
- Luc Van Gool
- Bernt Schiele
- Ming-Hsuan Yang
- Dacheng Tao
- Yi Yang
- Trevor Darrell
In Media Technology
Citations in the corpus
- A generic camera model and calibration method for conventional, wide-angle, and fish-eye lenses (2006, neutral): “The traditional approach for camera calibration is to take the perspective projection model as a starting point and then supplement it with distortion terms [1], [3], [16].”
- Intelligent multi-camera video surveillance: A review (2013, background): “Cameras can be calibrated with objects whose 3D geometry is known (Tsai, 1986; Sturm and Maybank, 1999; Liebowitz and Zisserman, 1999; Heikkila, 2000; Zhang, 2000; Faugeras and Luong, 2001; Teramoto and Xu, 2002; Agrawal and Davis, 2003).”
- Superpixel-Based Hand Gesture Recognition With Kinect Depth Camera (2015, methodology): “In this work, Heikkila’s method [29] is used to recalibrate Kinect’s color and infrared (IR) sensors.”
- Joint Depth and Color Camera Calibration with Distortion Correction (2012, methodology): “Ç”