IMPLEMENTASI ADD-ON BLENDER UNTUK OTOMATISASI PEWARNAAN ACAK PADA OBJEK

ELNOVA, KARINA NOVITA and Primanita, Anggina (2024) IMPLEMENTASI ADD-ON BLENDER UNTUK OTOMATISASI PEWARNAAN ACAK PADA OBJEK. Undergraduate thesis, Sriwijaya University.

[thumbnail of RAMA_55201_09021282126053_cover.jpg] Image
RAMA_55201_09021282126053_cover.jpg - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (204kB)
[thumbnail of RAMA_55201_09021282126053.pdf] Text
RAMA_55201_09021282126053.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (3MB)
[thumbnail of RAMA_55201_09021282126053_TURNITIN.pdf] Text
RAMA_55201_09021282126053_TURNITIN.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (4MB)
[thumbnail of RAMA_55201_09021282126053_0206088901_01_front_ref.pdf] Text
RAMA_55201_09021282126053_0206088901_01_front_ref.pdf - Accepted Version
Available under License Creative Commons Public Domain Dedication.

Download (6MB)
[thumbnail of RAMA_55201_09021282126053_0206088901_02.pdf] Text
RAMA_55201_09021282126053_0206088901_02.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (2MB)
[thumbnail of RAMA_55201_09021282126053_0206088901_03.pdf] Text
RAMA_55201_09021282126053_0206088901_03.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB)
[thumbnail of RAMA_55201_09021282126053_0206088901_04.pdf] Text
RAMA_55201_09021282126053_0206088901_04.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (2MB)
[thumbnail of RAMA_55201_09021282126053_0206088901_05.pdf] Text
RAMA_55201_09021282126053_0206088901_05.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (2MB)
[thumbnail of RAMA_55201_09021282126053_0206088901_06.pdf] Text
RAMA_55201_09021282126053_0206088901_06.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (256kB)
[thumbnail of RAMA_55201_09021282126053_0206088901_07_ref.pdf] Text
RAMA_55201_09021282126053_0206088901_07_ref.pdf - Bibliography
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (1MB)
[thumbnail of RAMA_55201_09021282126053_0206088901_08_lamp.pdf] Text
RAMA_55201_09021282126053_0206088901_08_lamp.pdf - Accepted Version
Restricted to Repository staff only
Available under License Creative Commons Public Domain Dedication.

Download (32kB)

Abstract

3D object coloring is an important stage in digital design and animation, but this process often takes a long time and tends to be monotonous. This research aims to develop a Blender add-on called AutoColorize, designed using Python to automate the coloring process. The add-on is equipped with features to generate color palettes and apply colors to selected objects. The test results show that using the add-on can improve time efficiency with an average efficiency ratio of 74% compared to the manual method. In terms of color consistency, this add-on produces colors similar to the original object colors, although there are variations between the color channels (R, G, B), according to the characteristics of the object’s color. This add-on provides a practical and effective solution to speed up the 3D object coloring process while maintaining good color representation.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Add-on, Pewarnaan Otomatis, Pewarnaan Acak, Linear Congruential Generator, Blender
Subjects: T Technology > T Technology (General) > T1-995 Technology (General)
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Karina Novita Elnova
Date Deposited: 09 Jan 2025 02:36
Last Modified: 09 Jan 2025 02:36
URI: http://repository.unsri.ac.id/id/eprint/163235

Actions (login required)

View Item View Item