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	Enhancing outdoor long-distance matching in mobile AR: A continuous and real-time geo-registration approach 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 137, 页码: 104422 作者: Huang, Kejia; Liu, Di; Zlatanova, Sisi; Lu, Yue; Wang, Yiwen \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2025/04/21 Mobile Augmented Reality (MAR) Geo-registration Sensor fusion Geodesic equations Rotation invariance estimation
	IRA plus plus : Distributed Incremental Rotation Averaging 期刊论文 OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 7, 页码: 4885-4892 作者: Gao, Xiang; Zhu, Lingjie; Cui, Hainan; Xie, Zexiao; Shen, Shuhan \| 收藏 \| 浏览/下载：36/0 \| 提交时间：2022/07/25 Barium Optimization Cameras Rotation measurement Pipelines Estimation Scalability Structure from motion rotation averaging divide and conquer
	Incremental Rotation Averaging 期刊论文 OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 页码: 15 作者: Gao, Xiang; Zhu, Lingjie; Xie, Zexiao; Liu, Hongmin; Shen, Shuhan \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2021/03/01 Rotation averaging Incremental estimation Accuracy and robustness
	Learning 3D Human Shape and Pose from Dense Body Parts 期刊论文 OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 0, 期号: 0, 页码: 0 作者: Zhang, Hongwen; Cao, Jie; Lu, Guo; Ouyang, Wanli; Sun, Zhenan \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2021/06/16 3D human shape and pose estimation decompose-and-aggregate network position-aided rotation feature refinement part-based dropout
	乒乓球的旋转估计与飞行轨迹预测学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013 作者: 任艳青收藏 \| 浏览/下载：316/0 \| 提交时间：2015/09/02 乒乓球机器人旋转估计轨迹预测旋转球 Table tennis robot rotation estimation trajectory prediction spinning ball
	Research on image restoration of Roll-Swing imaging seeker (EI CONFERENCE) 会议论文 OAI收割 3rd IEEE International Conference on Advanced Computer Control, ICACC 2011, January 18, 2011 - January 20, 2011, Harbin, China 作者: Zhang H.; Zhang H. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 To achieve a correct image receiving for Roll-Swing imaging seeker the mechanism and imaging process is analyzed. The causes of image rotation are discussed. The influence of the frame encoders' precision on imaging de-rotation quality is analyzed. The Roll-Swing imaging seeker is designed for high-speed aerocraft thus the received images are greatly degraded due to atmospheric turbulence. A new method of image restoration is proposed for turbulence-degraded images in this paper. The method is to get point spread function (PSF) based on the estimation of optical transfer function (OTF) according to the optical system design simulation. Finally to obtain the restored image constrained least squares filtering is used with the known PSF. The experiment results indicate that the new restoration method has a favorable effect to satisfy requirement of the automatic target recognition. 2011 IEEE.
	Parallel estimation of translation for video stabilization (EI CONFERENCE) 会议论文 OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者: Wang H.; Liu G.; Wang H.; Wang H.; Wang H. 收藏 \| 浏览/下载：102/0 \| 提交时间：2013/03/25 Translation motion estimation is the major aspect of video motion compensation especially in two-dimensional turntable. This paper presents a robust parallel estimation algorithm of translation in video stabilization system. The equivalent model of translation that derived is accorded with small rotation angle comparatively. A parallel algorithm based on grey mapping is used in local motion estimation to shorten the estimation time and improve the computation efficiency. After local motion vectors are calculated a fast filter can detect the spurious vectors avoiding possible jerks. The suggested translation estimation algorithm has been implemented on NVIDIA GTX 260 the experimental results show that the average time of the estimation and compensation finished in 16 ms/frame and stabilize 1k1k pixels sequence gray video up to 60 frames/s. 2010 IEEE.
	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：34/0 \| 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.