Camera Calibration

Camera calibration toolbox for MATLAB. Computer Vision System Toolbox™ provides algorithms, functions, and apps for designing and simulating computer vision and video processing systems. You can perform feature detection, extraction, and matching; object detection and tracking; motion estimation; and video processing. For 3-D computer vision, the system toolbox supports camera calibration, stereo vision, 3-D reconstruction, and 3-D point cloud processing. With machine learning based frameworks, you can train object detection, object recognition, and image retrieval systems. Algorithms are available as MATLAB® functions, System objects, and Simulink® blocks. For rapid prototyping and embedded system design, the system toolbox supports fixed-point arithmetic and C-code generation.


References in zbMATH (referenced in 50 articles )

Showing results 1 to 20 of 50.
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  1. Gaspar, Tiago; Oliveira, Paulo; Favaro, Paolo: Synchronization of independently moving cameras via motion recovery (2016)
  2. Martin, Tobias; Umetani, Nobuyuki; Bickel, Bernd: OmniAD: data-driven omni-directional aerodynamics (2015)
  3. Collins, Toby; Bartoli, Adrien: Infinitesimal plane-based pose estimation (2014)
  4. Liu, Feng; Zhang, David: 3D fingerprint reconstruction system using feature correspondences and prior estimated finger model (2014) ioport
  5. Vera, Pablo; Zenteno, Daniel; Salas, Joaquín: A smartphone-based virtual white cane (2014) ioport
  6. Benitez-Morales, A.; Santos, Omar; Romero, Hugo; Ramos-Velasco, Luis Enrique: Suboptimal robust linear visual servoing for a delayed underactuated system (2013)
  7. Chen, Zhihu; Wong, Kwan-Yee K.; Matsushita, Yasuyuki; Zhu, Xiaolong: Depth from refraction using a transparent medium with unknown pose and refractive index (2013) ioport
  8. Carrillo, Luis Rodolfo García; López, Alejandro Enrique Dzul; Lozano, Rogelio; Pégard, Claude: Combining stereo vision and inertial navigation system for a quad-rotor UAV (2012) ioport
  9. de França, José Alexandre; Stemmer, Marcelo Ricardo; de Morais França, Maria Bernadete; Piai, Juliani Chico: A new robust algorithmic for multi-camera calibration with a 1D object under general motions without prior knowledge of any camera intrinsic parameter (2012)
  10. Delbracio, Mauricio; Musé, Pablo; Almansa, Andrés; Morel, Jean-Michel: The non-parametric sub-pixel local point spread function estimation is a well posed problem (2012)
  11. Frosio, I.; Alzati, A.; Bertolini, M.; Turrini, C.; Borghese, N.A.: Linear pose estimate from corresponding conics (2012) ioport
  12. Hofmann, M.; Gavrila, D.M.: Multi-view 3D human pose estimation in complex environment (2012) ioport
  13. Prisacariu, Victor A.; Reid, Ian D.: PWP3D: real-time segmentation and tracking of 3D objects (2012) ioport
  14. Zhao, Xu; Zhou, Zhong; Wu, Wei: Radiance-based color calibration for image-based modeling with multiple cameras (2012) ioport
  15. Corke, Peter: Robotics, vision and control. Fundamental algorithms in MATLAB. (2011)
  16. Dusha, Damien; Mejias, Luis; Walker, Rodney: Fixed-wing attitude estimation using temporal tracking of the horizon and optical flow (2011)
  17. Feemster, Matthew G.; Esposito, Joel M.: Comprehensive framework for tracking control and thrust allocation for a highly overactuated autonomous surface vessel (2011)
  18. Han, Kyung Min; Desouza, Guilherme N.: Geolocation of multiple targets from airborne video without terrain data (2011) ioport
  19. Perriollat, Mathieu; Hartley, Richard; Bartoli, Adrien: Monocular template-based reconstruction of inextensible surfaces (2011)
  20. Roy, Arunesh; Gale, Nicholas; Hong, Lang: Automated traffic surveillance using fusion of Doppler radar and video information (2011) ioport

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Further publications can be found at: http://www.vision.caltech.edu/bouguetj/calib_doc/htmls/ref.html