When I first encountered the task that writing my research paper initially, one of the steps requiring me to draw a schematic diagrams showing the light irradiation on certain crystal drove me a little bit confuse. From the beginning, I'm confused how to make a picture in three-dimension, notably with sophisticated items. Surfing the browser, I noticed a popular software, Blender, which is profession enough to handle my work.
I modeled the crystal with the help of a other software called Diamond, which is a good tool to output the file with the .obj format for blender. I imported the aforementioned .obj lattice file into Blender for modeling, employing a relatively artistic lighting configuration. However, during the export process, I discovered that the "glow effect" failed to render properly in the output images. Through extensive online research, I identified that Blender isolates glow information from standard rendering data. Since post-processing software (specifically Adobe Photoshop in my workflow) cannot automatically recognize and process this separated glow information, the luminous effects cannot be correctly superimposed through conventional workflows. The practical solution involves manually compositing the glow layer in Photoshop through layer blending operations, which successfully achieves the desired visual output.
An intriguing phenomenon emerged during background adjustment. Initially using a black rendering background yielded satisfactory lighting performance with prominent glow effects. However, when switching to a white background to meet academic paper requirements, the lighting quality deteriorated significantly with diminished glow visibility. This paradox led me to investigate fundamental principles of human visual perception. The critical realization was that light perception fundamentally relies on contrast differentiation rather than absolute brightness values. In white-background environments, implementing darker tonal gradients becomes necessary to create sufficient luminance contrast for proper light perception - essentially, human visual cognition requires environmental disparity to recognize illumination intensity. This discovery provides valuable insights into the relationship between visual perception physics and computer graphics implementation.