Thông tin tài liệu


Nhan đề : 
Observation-driven generation of texture maps depicting dust accumulation over time
Tác giả : 
Rebecca L C, Santos
Gladimir V G, Baranoski
Năm xuất bản : 
2022
Nhà xuất bản : 
Springer
Tóm tắt : 
The perception of realism in computer-generated images can be significantly enhanced by subtle visual cues. Among those, one can highlight the presence of dust on synthetic objects, which is often subject to temporal variations in real settings. In this paper, we present a framework for the generation of textures representing the accumulation of this ubiquitous material over time in indoor settings. It employs a physically inspired approach to portray the effects of different levels of accumulated dust roughness on the appearance of substrate surfaces and to modulate these effects according to the different illumination and viewing geometries. The development of its core algorithms was guided by empirical insights and data obtained from observational experiments which are also described. To illustrate its applicability to the rendering of visually plausible depictions of time-dependent changes in dusty scenes, we provide sequences of images obtained considering distinct dust accumulation scenarios.
Mô tả: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s00371-022-02457-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8296
Bộ sưu tập
OER - Công nghệ thông tin
XEM MÔ TẢ

29

XEM TOÀN VĂN

14

Danh sách tệp tin đính kèm: