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: Computer Vision -- ECCV 2010; 11th European Confer Kostas Daniilidis,Petros Maragos,Nikos Paragios Conference proceedings 2010 Springer-Ver

[復制鏈接]
樓主: Coarctation
21#
發(fā)表于 2025-3-25 04:31:58 | 只看該作者
The Digitization of Business in ChinaTwo additional extensions are proposed for fast PCA dimensionality reduction, and a min-hash approach for fast patch retrieval. Our algorithm produces state-of-the-art results on previously published object instance patch data sets, as well as a new patch data set modeling intra-category appearance variations.
22#
發(fā)表于 2025-3-25 09:20:13 | 只看該作者
Euclidean Structure Recovery from Motion in Perspective Image Sequences via Hankel Rank Minimizationective depth and motion estimation, estimate the Fundamental matrices or assume a camera motion model. Finally, the proposed approach does not require an accurate calibration of the camera. The accuracy of the algorithm is illustrated using several examples involving both synthetic and real data.
23#
發(fā)表于 2025-3-25 13:27:39 | 只看該作者
24#
發(fā)表于 2025-3-25 18:48:55 | 只看該作者
25#
發(fā)表于 2025-3-25 20:58:56 | 只看該作者
Binary Coherent Edge DescriptorsTwo additional extensions are proposed for fast PCA dimensionality reduction, and a min-hash approach for fast patch retrieval. Our algorithm produces state-of-the-art results on previously published object instance patch data sets, as well as a new patch data set modeling intra-category appearance variations.
26#
發(fā)表于 2025-3-26 01:08:30 | 只看該作者
Computer Supported Cooperative Workamework on large-scale examples. The results show that the proposed resample scheme can produce a 3D reconstruction with the stability similar to quasi dense methods, while the problem size is as neat as sparse methods.
27#
發(fā)表于 2025-3-26 07:25:04 | 只看該作者
28#
發(fā)表于 2025-3-26 09:05:46 | 只看該作者
The Digitalization Conundrum in India., a general-purpose software package for sparse non-linear least squares that can exhibit arbitrary sparseness and presents results from its application to important sparse estimation problems in geometric vision.
29#
發(fā)表于 2025-3-26 13:49:13 | 只看該作者
30#
發(fā)表于 2025-3-26 18:10:29 | 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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 15:13
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 返回頂部 返回列表
汕头市| 清水河县| 鄂托克前旗| 靖远县| 桐庐县| 连山| 屏山县| 台中县| 龙江县| 泸水县| 阿克| 寻甸| 普洱| 山阳县| 永年县| 呼和浩特市| 黄石市| 灌南县| 论坛| 浪卡子县| 松阳县| 察哈| 开阳县| 古田县| 崇明县| 西和县| 博罗县| 永吉县| 平罗县| 德兴市| 元氏县| 林芝县| 玉山县| 云南省| 马鞍山市| 老河口市| 宁陕县| 安西县| 遂昌县| 莱阳市| 南通市|