全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

未知环境中基于视觉显著性的自然路标检测*

, PP. 100-105

Keywords: 自然路标检测,视觉显著性,Gabor滤波器,重复检测能力

Full-Text   Cite this paper   Add to My Lib

Abstract:

自然路标检测是移动机器人在未知环境中表示与识别环境的基础.基于此,本文提出一种具有适应能力、基于视觉显著性的自然路标检测系统.设计了保细节采样策略,能够自行调节参数以适应各种环境纹理分析的Gabor滤波器,在多尺度空间上计算颜色、纹理的对比度,经综合处理得到描述路标可选区域的显著性指示图.实验结果表明本文算法在显著点检测方面具有较高的准确性,并且具有较高的重复检测能力,能够适应远近尺度、旋转和视角变化等自然环境识别要求.

References

[1]  Colios C I, Trahanias P E. A Framework for Visual Landmark Identification Based on Projective and Point-Permutation Invariant Vectors. Robotics and Autonomous Systems, 2001, 35(1): 37-51
[2]  Winters N, Santos-Victor J. Information Sampling for Vision-Based Robot Navigation. Journal of Robotics and Autonomous Systems, 2002, 41(2-3): 145-159
[3]  Artac M, Jogan M, Leonardis A. Mobile Robot Localization Using an Incremental Eigenspace Model. In: Proc of the IEEE International Conference on Robotics and Automation. Washington, USA, 2002, Ⅰ: 1025-1030
[4]  Zhou C, Wei Y C, Tan T N. Mobile Robot Self-Localization Based on Global Visual Appearance Features. In: Proc of the IEEE International Conference on Robotics and Automation. Taipei, China, 2003, Ⅰ: 1271-1276
[5]  Heisenberg M, Wolf R. Studies of Brain Function. Berlin, Germany: Springer-Verlag, 1984
[6]  Lowe D G. Object Recognition from Local Scale-Invariant Features. In: Proc of the International Conference on Computer Vision. Corfu, Greece: 1999, 1150-1157
[7]  Sim R, Dudek G. Learning Visual Landmarks for Pose Estimation. In: Proc of the IEEE International Conference on Robotics and Automation. Detroit, USA, 1999, 1972-1978
[8]  Eduardo T, Carme T. Detection of Nature Landmarks through Multiscale Opponent Features. In: Proc of the 15th International Conference on Pattern Recognition. Barcelona, Spain, 2000, Ⅲ: 3988-3991
[9]  Milanese R, Wechster H, et al. Integration of Bottom-Up and Top-Down Cues for Visual Attention Using Non-Linear Relaxation. In: Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Seattle, USA, 1994, 781-785
[10]  Sheng W, Xia B. Texture Segmentation Method Based on Gabor Ring Filtering. Infrared and Laser Engineering, 2003, 32(5): 484-488 (in Chinese) (盛 文,夏 斌.基于Gabor环滤波的纹理分割方法.红外与激光工程, 2003, 32(5): 484-488)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133