In this assignment I utilized the 3d scanner we have at Fabrication Lab, the EinScan 2X. This is a optic 3d scanner, consists of several camera lens and a noise-generated image projector. The noise image along with the blinky lights are methods for the computer to recognize complex lighting conditions on a curve surface. 

The scanner is connected to a computer with a cable, along with a power supply. In the computer software, we can have a preview of the camera and point cloud being scanned.

The rules for holding the scanner is to maintain a moderate distance with the object, not too close nor too far away.

However, adjusting the exposure is very important. If the camera is under exposure, the details are missing and if the camera is over exposed, the details are also missing. Also, when moving the scanner position, make sure to not move too fast. This is for stablize the graph but also good for the noise projection to focus to get the best resolution.

This model worked very well mainly because it have a moderate size, a not so reflective surface and a monotonal texture. The scanner still has a lot of drawbacks when scanning a shiny or transparent object, or even a object has a lot of contrast on the surface texture.

After scanning, the software can turn it first into a point cloud, then into a mesh file. During the point cloud phase, some surface parts are apparently missing because its lower angle is hard to reach. But they are auto-completed after mesh.

Then the mesh is imported into Meshmixer. In this software, some basic 3d mesh operations is supported, such as editing and sculpting.

I first used the plane cutter tool to get rid of the bottm part. Then I used some sculpting tools to smooth and enhance some facial features.

Then I applied some different surface shaders onto the mesh.