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: Articulated Motion and Deformable Objects; 5th International Co Francisco J. Perales,Robert B. Fisher Conference proceedings 2008 Springer-

[復(fù)制鏈接]
樓主: ossicles
51#
發(fā)表于 2025-3-30 10:12:15 | 只看該作者
52#
發(fā)表于 2025-3-30 16:05:19 | 只看該作者
A Two-Step Approach for Detecting Individuals within Dense Crowds,still color images of dense crowds in a cluttered background. In the second step, which aims to reduce false alarm rates at same detection rates, color bin images are constructed from normalized . color histograms of the detected windows in the first step. Haar-like features extracted from these col
53#
發(fā)表于 2025-3-30 19:44:28 | 只看該作者
3D Modeling for Deformable Objects,us BSpline fitting approaches are: 1) the reconstructed BSpline patch does not need to be square shaped. This significantly reduces the required number of BSpline patches for reconstruction; 2) the dataset to be reconstructed does not have to be grid data. This is important, especially for 3D scan d
54#
發(fā)表于 2025-3-30 23:56:33 | 只看該作者
Active-Vision System Reconfiguration for Form Recognition in the Presence of Dynamic Obstacles,(.). A multi-camera active-vision system is used to improve form-recognition performance by selecting near-optimal viewpoints along a prediction horizon. The proposed method seeks to maximize the visibility of such a time-varying geometry in a cluttered, dynamic environment. Simulated experiments cl
55#
發(fā)表于 2025-3-31 04:41:21 | 只看該作者
56#
發(fā)表于 2025-3-31 06:20:37 | 只看該作者
57#
發(fā)表于 2025-3-31 12:33:14 | 只看該作者
58#
發(fā)表于 2025-3-31 13:42:21 | 只看該作者
https://doi.org/10.1007/978-3-540-70517-83D graphics; 3D recovery; affective computing; animation; articulated models; articulated motion; augmente
59#
發(fā)表于 2025-3-31 19:03:16 | 只看該作者
978-3-540-70516-1Springer-Verlag Berlin Heidelberg 2008
60#
發(fā)表于 2025-4-1 00:39:52 | 只看該作者
US-Latin American Naval RelationsWe present a system that can segment articulated, non-rigid motion without a priori knowledge of the number of clusters present in the analyzed scenario. We combine existing algorithms for tracking and extend clustering techniques by a self-tuning heuristic. Application to video sequences of humans shows good segmentation into limbs.
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) 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, 2025-11-1 05:15
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
额济纳旗| 洱源县| 佳木斯市| 朝阳市| 吉木萨尔县| 静乐县| 本溪市| 息烽县| 西乌| 彭州市| 枣庄市| 西安市| 徐水县| 汉寿县| 陆良县| 德化县| 都江堰市| 平江县| 清苑县| 外汇| 铁岭市| 巩义市| 隆林| 乌兰察布市| 名山县| 资讯 | 白水县| 平谷区| 六安市| 崇州市| 无棣县| 紫阳县| 台东县| 神池县| 柘荣县| 抚远县| 浦江县| 崇明县| 含山县| 清河县| 黄大仙区|