Kei Kitamura - Portfolio - Adversity and Will (1minute Projection Mapping)

Working period: May 2022 - August 2022

Tools: Unity (HDRP), C#, Shader Graph, Shaderlab (HLSL), Visual Effect Graph, Adobe AfterEffects, Blender, Sidefx Houdini, Adobe Substance 3D Designer, Adobe Photoshop

Role: Visual Design

This work was submitted to the 1 Minute Projection Mapping Competition 2022 (https://1minute-pm.com/) and was created to answer the competition theme "LIFE."

本作品は1minute Projection Mapping Competition 2022に応募された作品で、コンペのテーマ「LIFE」に対する回答として制作された。

On-site recording

Render Material

Concept

The macroscopic changes and behaviors of clusters of cells have no meaning.

Likewise, the microscopic behaviors of the individual cells that consist of clusters are mere phenomena that initially have no sense.

Similarly, an individual's behavior in reality as a macroscopic crowd is a mere phenomenon in response to external changes.

Still, as a microscopic party, they need meaning for their existence and behavior to survive.

Even if we are at the mercy of global changes, if we can define and fulfill the use and meaning of our own life with our own hands, we can regard it as a way of life we want to live.

In this work, by switching back and forth between a macro perspective that captures the behavior of the cells as a crowd and a micro view that captures the subjective viewpoint of individual cells, the work expresses the process by which the behavior of cells, which initially has no meaning, moves toward the goal of connecting life.

細胞の集合体のマクロな変化や挙動はそれ自体は意味を持たず、それを構成する個々の細胞のミクロな挙動も元来意味を持たない単なる現象である。

現実の個々人も同様にマクロな群衆としての挙動は外的変化に反応する単なる現象だが、ミクロな当事者としては生きていく為に自らの存在・行動に意味を必要とする。

大局的な変化に翻弄されても自らの命の使い方や意味を自分の手で定義し、全うできれば、それは本意な生き方と言えるのではないか。

本作品では、群衆としての挙動を捉えるマクロな視点と個々の細胞の主観的な視点を捉えるミクロな視点を行き来することで、本来意味を持たない細胞の振る舞いが命をつなぐという目的に向かって進む過程を表現している。

This time, I tried to compose most of the sequence with cell-division simulation on Houdini, while rendering is done on Unity like the last several projection mapping projects.

今回はHoudiniでの細胞分裂のシミュレーションでほぼ全編を構成しました。

レンダリングはUnityで行っています。