Dao, V.N., Sugimoto, M.: A robust recognition technique for dense checkerboard patterns. In: 2010 20th International Conference on Pattern Recognition (ICPR), pp. 3081–3084. IEEE (2010)

Lens mount

Rufli, M., Scaramuzza, D., Siegwart, R.: Automatic detection of checkerboards on blurred and distorted images. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2008, pp. 3121–3126. IEEE (2008)

Nikon Fmount

Why Choose Schneider-Kreuznach C-Mount Lenses for Machine Vision? With years of expertise in high-performance optics, Schneider-Kreuznach offers C-Mount lenses that meet the specific demands of machine vision applications in industrial settings. These lenses are engineered not only for durability and optical quality but also for flexibility, with features like motorized focus, ruggedized builds, and compatibility with various sensor formats.

Visit us at any tradeshow or event we attend worldwide! Come with your challenge and let our experts help you find the perfect solution for your apllication.

Heikkila, J.: Geometric camera calibration using circular control points. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10), 1066–1077 (2000)

We present a new checkerboard detection algorithm which is able to detect checkerboards at extreme poses, or checkerboards which are highly distorted due to lens distortion even on low-resolution images. On the detected pattern we apply a surface fitting based subpixel refinement specifically tailored for checkerboard X-junctions. Finally, we investigate how the accuracy of a checkerboard detector affects the overall calibration result in multi-camera setups. The proposed method is evaluated on real images captured with different camera models to show its wide applicability. Quantitative comparisons to OpenCV’s checkerboard detector show that the proposed method detects up to 80% more checkerboards and detects corner points more accurately, even under strong perspective distortion as often present in wide baseline stereo setups.

Fiala, M., Shu, C.: Self-identifying patterns for plane-based camera calibration. Machine Vision and Applications 19(4), 209–216 (2008)

Csmount

Yes, Schneider-Kreuznach offers customization options to meet specific machine vision needs, including variations in lens elements, mounts, and other specialized features to ensure optimal performance for your application.

T-mount

C mount1 32 un 2b

Tsai, R.Y.: A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE Journal of Robotics and Automation 3(4), 323–344 (1987)

Placht, S. et al. (2014). ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds) Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol 8692. Springer, Cham. https://doi.org/10.1007/978-3-319-10593-2_50

M42mount

Chen, D., Zhang, G.: A new sub-pixel detector for x-corners in camera calibration targets. WSCG (Short Papers) 5, 97–100 (2005)

Our C-Mount lenses are expertly crafted to deliver superior imaging quality in machine vision applications across industrial settings. These lenses combine high optical performance with a compact, durable design, making them ideal for integration into systems where space is limited but precision is essential. Designed specifically for industrial use, Schneider-Kreuznach C-Mount lenses offer reliable performance in demanding environments.

Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330–1334 (2000)

These lenses are engineered to withstand industrial stressors like vibration, temperature changes, and dust. With options for ruggedized models, Schneider-Kreuznach C-Mount lenses are reliable for long-term use in harsh environments, ensuring consistent image quality and precision.

Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

De la Escalera, A., Armingol, J.M.: Automatic chessboard detection for intrinsic and extrinsic camera parameter calibration. Sensors 10(3), 2027–2044 (2010)

C-Mount lenses are compact, high-precision lenses that easily attach to industrial cameras via a standardized C-Mount thread. They are highly regarded in machine vision for their ability to deliver clear, high-quality images in space-limited setups, making them ideal for industrial applications.

Explore our wide range of industrial lenses designed for a variety of applications and find the perfect solution for your imaging needs.

Wang, Z., Wu, W., Xu, X., Xue, D.: Recognition and location of the internal corners of planar checkerboard calibration pattern image. Applied Mathematics and Computation 185(2), 894–906 (2007)

Mallon, J., Whelan, P.F.: Which pattern? biasing aspects of planar calibration patterns and detection methods. Pattern Recognition Letters 28(8), 921–930 (2007)

Sun, W., Cooperstock, J.R.: An empirical evaluation of factors influencing camera calibration accuracy using three publicly available techniques. Machine Vision and Applications 17(1), 51–67 (2006)

Lucchese, L., Mitra, S.K.: Using saddle points for subpixel feature detection in camera calibration targets. In: Asia-Pacific Conference on Circuits and Systems, vol. 2, pp. 191–195. IEEE (2002)

Scaramuzza, D.: Omnidirectional Vision: from Calibration to Root Motion Estimation. Ph.D. thesis, Swiss Federal Institute of Technology Zurich (ETHZ) (February 2008)

Niblack, C.W., Gibbons, P.B., Capson, D.W.: Generating skeletons and centerlines from the distance transform. CVGIP: Graph. Models Image Process 54(5), 420–437 (1992)