亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Single Edge Collapse Quad-Dominant Mesh Reduction

还原(数学) GSM演进的增强数据速率 计算机科学 计算机图形学(图像) 几何学 人工智能 数学
作者
Julian Knodt
出处
期刊:ACM Transactions on Graphics [Association for Computing Machinery]
卷期号:44 (4): 1-23
标识
DOI:10.1145/3731143
摘要

Mesh reduction using quadric error metrics is the industry standard for producing level-of-detail (LOD) geometry for meshes. Although industry tools produce visually excellent LODs, mesh topology is often ruined during decimation. This is because tools focus on triangle simplification and preserving rendered appearance, whereas artists often produce quad dominant meshes with clean edge topology. Artist created manual LODs preserve both appearance and quad topology. Furthermore, most existing tools for quad decimation only accept pure quad meshes and cannot handle any triangles. The gap between quad and triangular mesh decimation is because they are built on fundamentally different operations, triangle simplification uses single edge collapses, whereas quad decimation requires that entire sets of edges be collapsed atomically. In this work, we demonstrate that single edge collapse can be used to preserve most input quads without degrading geometric quality. Single edge collapse quad preservation is made possible by introducing dihedral-angle weighted quadrics for every edge, allowing optimization to evenly space edges while preserving features. It is further enabled by explicitly ordering edge collapses with nearly equivalent quadric error in a way that preserves quad topology. In addition to quad preservation, we demonstrate that by introducing weights for quadrics on certain edges, our framework can be used to preserve symmetry and joint influences. To demonstrate our approach is suitable for skinned mesh decimation on triangle meshes, we show that QEM with attributes can preserve joint influences better than prior work. We implement and test our approach on 67 static and 19 animated meshes from Sketchfab. On both static and animated meshes, our approach consistently outperforms prior work with lower Chamfer and Hausdorff distance, while preserving more quad topology when present.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
苗条的枕头完成签到,获得积分10
21秒前
55秒前
frank发布了新的文献求助10
59秒前
洁净友蕊完成签到,获得积分10
1分钟前
直率的宛丝完成签到,获得积分10
1分钟前
1分钟前
1分钟前
胡萝卜完成签到,获得积分10
1分钟前
什么也难不倒我完成签到 ,获得积分10
1分钟前
跳跃的凡阳完成签到,获得积分10
1分钟前
傲娇曼岚完成签到,获得积分10
1分钟前
1分钟前
一一发布了新的文献求助10
1分钟前
2分钟前
认真太阳完成签到,获得积分10
2分钟前
2分钟前
受伤青丝完成签到,获得积分10
2分钟前
鱼鱼完成签到 ,获得积分10
2分钟前
赘婿应助Aveclafoi采纳,获得10
2分钟前
瘦瘦的宛菡完成签到,获得积分10
2分钟前
冰美式冲呀完成签到 ,获得积分10
3分钟前
苹果元灵完成签到,获得积分10
3分钟前
3分钟前
3分钟前
3分钟前
Aveclafoi发布了新的文献求助10
3分钟前
小肉包脸完成签到 ,获得积分10
3分钟前
3分钟前
仁爱的鹤轩完成签到,获得积分10
4分钟前
魔幻诗兰完成签到,获得积分10
4分钟前
天真的紫安完成签到,获得积分10
4分钟前
4分钟前
丘比特应助Aveclafoi采纳,获得10
4分钟前
络桵完成签到,获得积分10
4分钟前
4分钟前
LINDENG2004完成签到 ,获得积分10
4分钟前
落后藏鸟完成签到,获得积分10
4分钟前
细心的香芦完成签到 ,获得积分10
4分钟前
顺利秋灵完成签到,获得积分10
5分钟前
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7754444
求助须知:如何正确求助?哪些是违规求助? 9301003
关于积分的说明 20259926
捐赠科研通 7336860
什么是DOI,文献DOI怎么找? 3310833
关于科研通互助平台的介绍 2462001
邀请新用户注册赠送积分活动 2324073