伪四抽头像素结构ToF深度传感器的插值方法

Taechan Kim, Kwanghyuk Bae, K. Kyung, S. Cho
{"title":"伪四抽头像素结构ToF深度传感器的插值方法","authors":"Taechan Kim, Kwanghyuk Bae, K. Kyung, S. Cho","doi":"10.1109/ICCE.2013.6486828","DOIUrl":null,"url":null,"abstract":"This paper presents an interpolation method for ToF depth sensor with pseudo 4-tap pixel architecture. Pseudo 4-tap pixel architecture uses different modulation signals for different row pixels. While faster data acquisition reduces motion artifacts, depth calculation with two vertical pixels lowers depth resolution. The proposed method uses offset values for similarity weights to improve depth resolution. Experimental results show that edge artifact is improved in the vertical direction.","PeriodicalId":6432,"journal":{"name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","volume":"9 1","pages":"135-136"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interpolation method for ToF depth sensor with pseudo 4-tap pixel architecture\",\"authors\":\"Taechan Kim, Kwanghyuk Bae, K. Kyung, S. Cho\",\"doi\":\"10.1109/ICCE.2013.6486828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an interpolation method for ToF depth sensor with pseudo 4-tap pixel architecture. Pseudo 4-tap pixel architecture uses different modulation signals for different row pixels. While faster data acquisition reduces motion artifacts, depth calculation with two vertical pixels lowers depth resolution. The proposed method uses offset values for similarity weights to improve depth resolution. Experimental results show that edge artifact is improved in the vertical direction.\",\"PeriodicalId\":6432,\"journal\":{\"name\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"volume\":\"9 1\",\"pages\":\"135-136\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE International Conference on Consumer Electronics (ICCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE.2013.6486828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Consumer Electronics (ICCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE.2013.6486828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种伪四抽头像素结构的ToF深度传感器插值方法。伪四抽头像素架构对不同的行像素使用不同的调制信号。虽然更快的数据采集减少了运动伪影,但两个垂直像素的深度计算降低了深度分辨率。该方法采用偏移值作为相似权值来提高深度分辨率。实验结果表明,在垂直方向上,边缘伪影得到了改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interpolation method for ToF depth sensor with pseudo 4-tap pixel architecture
This paper presents an interpolation method for ToF depth sensor with pseudo 4-tap pixel architecture. Pseudo 4-tap pixel architecture uses different modulation signals for different row pixels. While faster data acquisition reduces motion artifacts, depth calculation with two vertical pixels lowers depth resolution. The proposed method uses offset values for similarity weights to improve depth resolution. Experimental results show that edge artifact is improved in the vertical direction.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信