Download e-book for iPad: High Precision Camera Calibration by Tobias Hanning

By Tobias Hanning

Tobias Hanning explains the vintage pinhole digicam version, its obstacles, and choices.

Show description

Read or Download High Precision Camera Calibration PDF

Best computer vision & pattern recognition books

Download PDF by Siegfried Graf: Foundations of Quantization for Probability Distributions

As a result of the quickly expanding want for ways of knowledge compression, quantization has turn into a flourishing box in sign and photo processing and knowledge thought. a similar options also are utilized in records (cluster analysis), development attractiveness, and operations study (optimal position of provider centers).

Read e-book online Aspects of Automatic Text Analysis PDF

The importance of typical language texts because the best info constitution for the administration and dissemination of data is - because the upward push of the internet exhibits - nonetheless expanding. Making proper texts to be had in numerous contexts is of basic significance for effective job of completion in educational and business settings.

Download e-book for iPad: Fullspace-Projektion: Mit dem 360°lab zum Holodeck by Gordian Overschmidt, Ute Schröder

Das Fachbuch "Fullspace-Projektion" ist ein erstes zusammenfassendes Werk für die Konzeption, Produktion und den Vertrieb für raumgreifende Erfahrungen (Immersion) in 360°-Welten. Einzelkomponenten werden aufgezeigt und in ihrem aktuellen Stand diskutiert. Die Experten der jeweiligen Disziplinen (bspw.

Bildverarbeitung und Objekterkennung: Computer Vision in by Herbert Süße, Erik Rodner PDF

Dieses Buch erläutert, wie Informationen automatisch aus Bildern extrahiert werden. Mit dieser sehr aktuellen Frage beschäftigt sich das Buch mittels eines Streifzuges durch die Bildverarbeitung. Dabei werden sowohl die mathematischen Grundlagen vieler Verfahren der second- und 3D-Bildanalyse vermittelt als auch deren Nutzen anhand von Problemstellungen aus vielen Bereichen (Medizin, industrielle Bildverarbeitung, Objekterkennung) erläutert.

Extra info for High Precision Camera Calibration

Sample text

The reader is referred to the original article [Tsa87] for all details and proofs. Without loss of generality we assume that the the principal point is located in the origin of the image. Then the image transformation considered by Tsai becomes ⎛ ⎞ x x f 0 . 1) P ⎝y ⎠ = y 0 f 1 ⎞ ⎛ ⎞ ⎛ tx r1 r2 r3 Now let R = ⎝r4 r5 r6 ⎠ be the rotation matrix and t = ⎝ty ⎠ be the transr7 r8 r9 tz lation of the extrinsic camera parameters. 2) v z f r1 x + r2 y + r3 z + tx = . 4) holds. For a planar model P it is z = 0 for all p = (x, y, z) ∈ P.

16). A planar model P defines a reference coordinate system such that every z-coordinate of a point in the model plane is zero. 25) H⎜ ⎝0⎠ 1 1 for every point (x, y, 0)t within the model plane. Therefore, the column h3 is not of interest when we observe a planar pattern. e. the mapping of the points in P to the observed image. We call such a mapping homography. 16) defines a non-linear optimization problem with 8 degrees of freedom, since H is determined up to a scale factor. Note that the determination of a homography is not restricted to point-to-point correspondences.

T. t. another error function. However, this should be avoided. By choosing an error function we inherently make an assumption about the main origin of the error of the observed camera mapping. This assumption should hold for the calibration and for the reconstruction. 4 defines a non-linear problem: Given an open set D ⊂ Rn and a function f : D −→ R+ we are looking for a value x∗ ∈ argminx∈D f (x). For differentiable functions f it is grad(f )(x∗ ) = 0 necessarily. Therefore, a simple approach to solve non-linear minimization problems is given by Newton’s method to find roots of the gradients.

Download PDF sample

Rated 4.82 of 5 – based on 11 votes