🏆恭喜SKY_Associative超棒的設計
🏆全以MODEX ABS Ivory原色列印
🏆小編與團隊都感到非常與有榮焉
🏆 INDUSTART 2017 WINNER IN THE NOMINATION «LIGHTING» COMPLETED PROJECTS — Kane Yanagawa & Echo Chen, Taiwan, Province of China.
Project: Y-35
Project description: The design concept for Y-35 came about through the desire to produce a lighting system that exhibited characteristics of variability and transformation as seen in custom fabricated pieces, but to maintain a modular construction suitable for mass production. This thinking led to concepts of instance, self-similarity and recursion, ideas that are associated with the naturally occurring mathematical phenomenon commonly known as fractal geometry. Fractal geometry exhibits qualities of infinite regression wherein each iteration is reduced in scale providing a sense of variation despite maintaining a uniform shape definition. Aside from the elementary transformation of scale, rotation was explored as a way to generate variation and introduce spatial properties to the design that evolves the fractal diagram into a three dimensional lighting installation.
https://industart.org/winner_one/203/
🏆 CONGRATULATIONS! 🏆
SHOW YOUR DESIGN!
Join the international design community!
official website www.industart.org
#industart #industart2017 #industartawards #awards #designawards #design #industartdesign #interiordesign #urbandesign #designer #contest #internationalcontest #winner
「similarity transformation」的推薦目錄:
- 關於similarity transformation 在 MODEX 3DP Filament Facebook 的最佳貼文
- 關於similarity transformation 在 How to compute the similarity transformation matrix 的評價
- 關於similarity transformation 在 similarity-transformation · GitHub Topics 的評價
- 關於similarity transformation 在 Compute the similarity transformation matrix given two sets of ... 的評價
similarity transformation 在 similarity-transformation · GitHub Topics 的推薦與評價
Find similarity transformation parameters, given a set of 3-D control points, using dual quaternions. ... <看更多>
similarity transformation 在 Compute the similarity transformation matrix given two sets of ... 的推薦與評價
... <看更多>
similarity transformation 在 How to compute the similarity transformation matrix 的推薦與評價
... with the same distinct eigenvalues then they are similar. ... we don't obtain the actual similarity transform from this but the point is ... ... <看更多>
相關內容