Reconstructing Kite Position and Rotation from a Single Camera Image

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To calculate the position and rotation of a kite from a single camera image, one can utilize the known dimensions of the kite and the camera specifications, including pixel values for the kite's corners. The kite's geometry, being 1 m wide and 3 m high, provides a reference for scaling in the image. A matrix transformation approach may simplify the calculations, allowing for the conversion of pixel coordinates to a vector space. Trigonometry alone may not suffice due to the complexities of perspective projection. Utilizing the four corners of the kite as reference points can aid in accurately determining its position and orientation in the camera's coordinate system.
velcrome
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Image a kite (1 m wide, 3 m high, both crossing at a third of the height).
Also imagine a digital camera (800x600 pixel with a horizontal field of view of 45°).

After launching the kite a photo is taken with the camera.

How can I easily calculate the exact position *and* rotation of the kite in a vectorspace defined by the camera at the moment the picture was taken?
I tried with trigonometry but failed. I assume there is an easier way with matrices but i don't know how. I appreciate any help.

*velcrome
 
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??Given what information?
 
there are four corners of the kite with precise pixel values in the picture.

and of course, the dimensions of the kite and the specifications of the camera is known.
 
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

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