week2

week2 

08/03/2023

Goals: developing the overall idea

1. 3D coordinate position extraction (incomplete)

The data are the 3D coordinates and their 3D pixel matrix, sliced along a certain axis we can get a certain 2-dimensional profile.


It is then expected to do a binary transformation or greyscale of the image to extract the specific pixel values of the 2D curve and obtain its corresponding 3D coordinates, and so on, for each point along the axis to obtain the coordinates of each point of the 3D surface.



Other issues: redundancy culling (interception of pixel matrix), noise reduction.


2. Data analysis

Gradual slicing along the x, y and z axes.

x axis:

Slowly intercepting the profile along the x-axis, the height of the profile arc is found to increase gradually, similar to a hemisphere cross-section, but the arc is found to be asymmetrical

Y axis:
Similar to x-axis

Z axis:

Probably a non-standard Hemisphere cross-section from the z axis, while finding the interference of the imaging platform with the lens image.

In summary, it is inferred that this is a non-standard hemispherical lens.


3. Data analysis (Supplementary)


Taking cross sections along different axes, it is easy to see that the lens appears roughly as a small portion of a spherical surface.

Looking at the cross-sectional pixel diagrams, we see that there are curves representing not only the spherical cross-section but also the cross-section of the imaging platform.


Taking all the pixel values on any line in the cross-sectional pixel map to form a pixel value curve, it can be found that the extreme value of a pixel is often where the surface of the object exists.


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week4

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week3

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