A Database and Evaluation Methodology for Optical Flow

光流 计算机科学 插值(计算机图形学) 基本事实 人工智能 不连续性分类 计算机视觉 算法 帧(网络) 运动(物理) 集合(抽象数据类型) 跟踪(教育) 图像(数学) 数学 教育学 心理学 数学分析 程序设计语言 电信
作者
Simon Baker,Daniel Scharstein,J. P. Lewis,Stefan Roth,Michael J. Black,Richard Szeliski
出处
期刊:International Journal of Computer Vision [Springer Science+Business Media]
卷期号:92 (1): 1-31 被引量:1791
标识
DOI:10.1007/s11263-010-0390-2
摘要

The quantitative evaluation of optical flow algorithms by Barron et al. (1994) led to significant advances in performance. The challenges for optical flow algorithms today go beyond the datasets and evaluation methods proposed in that paper. Instead, they center on problems associated with complex natural scenes, including nonrigid motion, real sensor noise, and motion discontinuities. We propose a new set of benchmarks and evaluation methods for the next generation of optical flow algorithms. To that end, we contribute four types of data to test different aspects of optical flow algorithms: (1) sequences with nonrigid motion where the ground-truth flow is determined by tracking hidden fluorescent texture, (2) realistic synthetic sequences, (3) high frame-rate video used to study interpolation error, and (4) modified stereo sequences of static scenes. In addition to the average angular error used by Barron et al., we compute the absolute flow endpoint error, measures for frame interpolation error, improved statistics, and results at motion discontinuities and in textureless regions. In October 2007, we published the performance of several well-known methods on a preliminary version of our data to establish the current state of the art. We also made the data freely available on the web at http://vision.middlebury.edu/flow/ . Subsequently a number of researchers have uploaded their results to our website and published papers using the data. A significant improvement in performance has already been achieved. In this paper we analyze the results obtained to date and draw a large number of conclusions from them.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
感动黄豆发布了新的文献求助10
刚刚
2秒前
3秒前
3秒前
3秒前
5秒前
Owen应助晒太阳的加菲猫采纳,获得10
6秒前
anna发布了新的文献求助10
8秒前
8秒前
wu基督教发布了新的文献求助10
9秒前
10秒前
余南发布了新的文献求助10
11秒前
晒太阳的加菲猫完成签到,获得积分10
11秒前
笑点低诗桃完成签到,获得积分20
12秒前
泡泡脑瓜完成签到,获得积分10
12秒前
14秒前
liche发布了新的文献求助10
14秒前
15秒前
修管子发布了新的文献求助10
15秒前
16秒前
共享精神应助gx采纳,获得10
16秒前
高手完成签到,获得积分20
17秒前
无所谓的啦完成签到,获得积分10
17秒前
ylq关闭了ylq文献求助
18秒前
wu基督教完成签到,获得积分20
18秒前
19秒前
迷人的芹菜完成签到,获得积分10
19秒前
20秒前
Miracle发布了新的文献求助10
20秒前
高手发布了新的文献求助10
21秒前
21秒前
我啊完成签到 ,获得积分10
24秒前
slp发布了新的文献求助30
25秒前
25秒前
gx发布了新的文献求助10
27秒前
英姑应助笑点低诗桃采纳,获得10
29秒前
youwenjing11发布了新的文献求助10
29秒前
王铂然发布了新的文献求助10
32秒前
大模型应助GGBOND采纳,获得10
33秒前
脑洞疼应助gx采纳,获得10
33秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989115
求助须知:如何正确求助?哪些是违规求助? 3531367
关于积分的说明 11253688
捐赠科研通 3269986
什么是DOI,文献DOI怎么找? 1804868
邀请新用户注册赠送积分活动 882078
科研通“疑难数据库(出版商)”最低求助积分说明 809105