找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Consumer Depth Cameras for Computer Vision; Research Topics and Andrea Fossati,Juergen Gall,Kurt Konolige Book 2013 Springer-Verlag London

[復(fù)制鏈接]
樓主: DUCT
41#
發(fā)表于 2025-3-28 16:46:24 | 只看該作者
42#
發(fā)表于 2025-3-28 19:58:56 | 只看該作者
43#
發(fā)表于 2025-3-28 23:31:43 | 只看該作者
44#
發(fā)表于 2025-3-29 06:05:32 | 只看該作者
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Cameracomes more feasible when using streams of 2.5D monocular depth images as provided by a depth camera. However, due to low resolution of and challenging noise characteristics in depth camera images as well as self-occlusions in the movements, the pose estimation task is still far from being simple. Fu
45#
發(fā)表于 2025-3-29 08:17:44 | 只看該作者
Home 3D Body Scans from a Single Kinect availability of 3D body models. Although there has been a great deal of interest recently in the use of active depth sensing cameras, such as the Microsoft Kinect, for human pose tracking, little has been said about the related problem of human shape estimation. We present a method for human shape
46#
發(fā)表于 2025-3-29 13:07:09 | 只看該作者
47#
發(fā)表于 2025-3-29 16:40:49 | 只看該作者
A Category-Level 3D Object Dataset: Putting the Kinect to Worktection dataset to the forefront. Such a dataset can be used for object recognition in a spirit usually reserved for the large collections of intensity images typically collected from the Internet. Here, we will review current 3D datasets and find them lacking in variation of scene, category, instan
48#
發(fā)表于 2025-3-29 22:49:10 | 只看該作者
49#
發(fā)表于 2025-3-30 00:41:37 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-7 00:05
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
栾川县| 郸城县| 织金县| 仁布县| 应城市| 桐柏县| 上思县| 县级市| 西城区| 登封市| 赣州市| 诸城市| 东乡族自治县| 华池县| 凤凰县| 南阳市| 宝兴县| 日土县| 通榆县| 中宁县| 克东县| 四会市| 体育| 靖江市| 深圳市| 革吉县| 德格县| 微博| 手机| 基隆市| 木里| 宝兴县| 安庆市| 漳浦县| 鹿邑县| 永和县| 许昌市| 南充市| 天水市| 阳城县| 辽源市|