中国科学院机构知识库网格系统: 检索

Weakly Supervised Object Localization with Background Suppression Erasing for Art Authentication and Copyright Protection 期刊论文 OAI收割
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 89-103
作者: Chaojie Wu; Mingyang Li; Ying Gao; Xinyan Xie; Wing W. Y. Ng

|

收藏 | 浏览/下载：21/0 | 提交时间：2024/04/23

Weakly supervised object localization, erasing method, deep learning, computer vision, art authentication and copyright protection

Continuation methods with the trusty time-stepping scheme for linearly constrained optimization with noisy data 期刊论文 OAI收割
OPTIMIZATION AND ENGINEERING, 2021, 页码: 32
作者: Luo, Xin-long; Lv, Jia-hui; Sun, Geng

|

收藏 | 浏览/下载：41/0 | 提交时间：2021/04/26

Continuation method Trust-region technique Visual-inertial localization Unmanned aerial vehicle Noisy data Differential-algebraic dynamical system

Research on Static Vision-Based Target Localization for Astronaut Assistant Robots 期刊论文 OAI收割
IEEE ACCESS, 2019, 卷号: 7, 页码: 128394-128407
作者: Gu FW(谷凤伟); Gao HW(高宏伟); Liu JG(刘金国); Gao Q(高庆)

|

收藏 | 浏览/下载：21/0 | 提交时间：2019/10/10

Astronaut assistant robot binocular vision region of interest localization method

Multiple Signal Classification Algorithm Based Electric Dipole Source Localization Method in an Underwater Environment 期刊论文 OAI收割
SYMMETRY-BASEL, 2017, 卷号: 9, 期号: 10, 页码: 231
作者: Xu, Yidong; Xue, Wei; Li, Yingsong; Guo, Lili; Shang, Wenjing

|

收藏 | 浏览/下载：38/0 | 提交时间：2018/02/28

Underwater Localization Boundary Element Method (Bem) Multiple Signal Classification (Music) Algorithm Hybrid Search Method Electric Dipole Source Receiving Antenna Array

Convex Euclidean distance embedding for collaborative position localization with NLOS mitigation 期刊论文 OAI收割
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2017, 卷号: 66, 期号: 1, 页码: 187-218
作者: Ding, Chao; Qi, Hou-Duo

|

收藏 | 浏览/下载：31/0 | 提交时间：2018/07/30

Euclidean distance matrix Collaborative localization Non-line of sight (NLOS) Augmented Lagrangian Alternating direction method of multipliers (ADMM)

Mobile robot localization based on particle filter 会议论文 OAI收割
11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014
作者: Luo FB(罗俸兵); Du, Bianjing; Fan Z(范振)

收藏 | 浏览/下载：33/0 | 提交时间：2015/09/15

mobile robot self-localization particle filter Monte Carlo method

Distributed Variational Filtering for Simultaneous Sensor Localization and Target Tracking in Wireless Sensor Networks 期刊论文 OAI收割
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 卷号: 61, 期号: 5, 页码: 2305-2318
作者: Teng, Jing; Snoussi, Hichem; Richard, Cedric; Zhou, Rong

收藏 | 浏览/下载：25/0 | 提交时间：2014/12/15

Bayesian method filtering algorithm simultaneous localization and tracking wireless sensor networks

A re-formulation of the transfer matrix method for calculating wave-functions in higher dimensional disordered open systems 期刊论文 OAI收割
COMPUTER PHYSICS COMMUNICATIONS, 2012, 卷号: 183, 期号: 12, 页码: 2513-2518
Chen, L; Lv, C; Jiang, XY

收藏 | 浏览/下载：23/0 | 提交时间：2013/04/17

Transfer matrix method Disordered system Anderson localization Necklace state

An adaptive edge detection method based on Canny operator (EI CONFERENCE) 会议论文 OAI收割
2011 International Conference on Civil Engineering and Building Materials, CEBM 2011, July 29, 2011 - July 31, 2011, Kunming, China
作者: Chen Y.

收藏 | 浏览/下载：45/0 | 提交时间：2013/03/25

This paper proposes an adaptive Canny operator edge detection algorithm. The proposed method can automatically set the threshold value according to the different image gray-scale gradient histogram adaptively and improve the performance in the detail edge detection and good localization. Experiments show that this method produces better edge detection results performance than the Otsu method. Besides our method Roberts operator Prewitt operator Sobel operator Log operator and Canny operator based on Otsu algorithm are also tested for comparisons. (2011) Trans Tech Publications Switzerland.

Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文 OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：35/0 | 提交时间：2013/03/25

real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper we combine intensity orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter partial occlusions illumination change and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels it only needs 12ms to complete the method. 2007 IEEE.