找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer Vision -- ECCV 2006; 9th European Confere Ale? Leonardis,Horst Bischof,Axel Pinz Conference proceedings 2006 Springer-Verlag Berli

[復(fù)制鏈接]
樓主: oxidation
31#
發(fā)表于 2025-3-26 23:24:28 | 只看該作者
32#
發(fā)表于 2025-3-27 04:44:40 | 只看該作者
33#
發(fā)表于 2025-3-27 05:29:59 | 只看該作者
34#
發(fā)表于 2025-3-27 12:20:52 | 只看該作者
Aayush Jain,Nathan Manohar,Amit Sahaiinimizing Lipschitz Extension (AMLE), already known as a robust and coherent scalar image interpolation technique if we relax slightly the axioms. Numerical results, using a multiresolution scheme, show that they produce fields in accordance with the human perception of edges.
35#
發(fā)表于 2025-3-27 14:42:37 | 只看該作者
36#
發(fā)表于 2025-3-27 21:12:12 | 只看該作者
A Simple Solution to the Six-Point Two-View Focal-Length Problemal images. Satisfactory results are obtained for both cases. For reference purpose we include our Matlab implementation in the paper, which is quite concise, consisting of 20 lines of code only. The result of this paper will make a small but useful module in many computer vision systems.
37#
發(fā)表于 2025-3-28 00:40:34 | 只看該作者
38#
發(fā)表于 2025-3-28 05:58:03 | 只看該作者
An Efficient Method for Tensor Voting Using Steerable Filters tensor voting operation as a linear combination of complex-valued convolutions. This approach has computational advantages since convolutions can be implemented efficiently. We provide speed measurements to indicate the gain in speed, and illustrate the use of steerable tensor voting on medical applications.
39#
發(fā)表于 2025-3-28 07:18:43 | 只看該作者
Robust Multi-view Face Detection Using Error Correcting Output Codesterns can be divided into separated classes across views, and ECOC multi-class method can improve the robustness of multi-view face detection compared with the view-based methods because of its inherent error-tolerant ability. One key issue with ECOC-based multi-class classifier is how to construct
40#
發(fā)表于 2025-3-28 11:11:55 | 只看該作者
Inter-modality Face Recognitions problem, the face images in the database and the query images captured on spot are acquired under quite different conditions or even using different equipments. Conventional approaches either treat the samples in a uniform model or introduce an intermediate conversion stage, both of which would le
 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(ài)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(píng) 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 15:58
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
五台县| 卢氏县| 东乡族自治县| 龙胜| 江达县| 廊坊市| 嘉鱼县| 高陵县| 霍邱县| 扎鲁特旗| 咸阳市| 南川市| 渭源县| 阿勒泰市| 舒兰市| 汶上县| 宜城市| 边坝县| 北碚区| 灌阳县| 永宁县| 略阳县| 岗巴县| 万州区| 津南区| 泽普县| 桂阳县| 南康市| 安丘市| 台湾省| 延吉市| 和田市| 万载县| 玉屏| 阿巴嘎旗| 招远市| 奉节县| 盐亭县| 大渡口区| 华宁县| 库尔勒市|