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一种多尺度PHOG特征和最优缝合线的运动场景图像拼接算法

, PP. 624-631

Keywords: 图像拼接,多尺度角点检测,分层梯度方向直方图(PHOG),最优缝合线

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Abstract:

针对运动物体对图像拼接易造成配准误差和合成鬼影的问题,提出一种多尺度PHOG特征和最优缝合线的运动场景图像拼接算法。首先,在多尺度空间角点检测的基础上,引入分层梯度方向直方图(PHOG)描述方法,生成多尺度PHOG特征,进行稳定配准,避免运动物体的局部影响。然后,通过构建能量函数,采用图割算法搜索几何、灰度差异最小的缝合线,去除运动鬼影。实验结果表明,该方法对存在运动物体的场景拼接具有较高的拼接精度,拼接效果良好。

References

[1]  Navneet A B,Bartoli A,Dalal N,et al.From Video Sequences to Motion Panoramas // Proc of the IEEE Workshop on Motion and Video Computing.Orlando,USA,2002: 201-207
[2]  Mller B,Posch S.Detection and Tracking of Moving Objects for Mosaic Image Generation // Proc of the 23rd DAGM-Symposium on Pattern Recognition.Munich,Germany,2001: 208-215
[3]  Hsu C T,Tsan Y C.Mosaics of Video Sequences with Moving Objects.Signal Processing: Image Communication,2004,19(1): 81-98
[4]  Peleg S,Rousso B,Rav-Acha A,et al.Mosaicing on Adaptive Manifolds.IEEE Trans on Pattern Analysis and Machine Intelligence,2000,22(10): 1144-1154
[5]  Zou Lihui,Chen Jie,Zhang Juan,et al.An Image Mosaicing Approach for Video Sequences Based on Space-Time Manifolds // Proc of the 29th Chinese Control Conference.Beijing,China,2010: 3003-3006 (in Chinese)(邹丽晖,陈 杰,张 娟,等.一种基于时空域流形的视频序列图像拼接算法//第29届中国控制会议论文集.北京,2010: 3003-3006)
[6]  Uyttendaele M,Eden A,Szeliski R.Eliminating Ghosting and Exposure Artifacts in Image Mosaics // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Hawaii,USA,2001: 509-516
[7]  Fang Xianyong,Zhang Mingmin,Pan Zhigeng,et al.Research of Image Mosaic Based on Graph Cut.Journal of Image and Graphics,2007,12(12): 2050-2056 (in Chinese) (方贤勇,张明敏,潘志庚,等.基于图切割的图像拼接技术研究.中国图象图形学报,2007,12(12): 2050-2056)
[8]  Qin Lei,Gao Wen.Image Matching Based on a Local Invariant Descriptor // Proc of the IEEE International Conference on Image Processing.Genova,Italy,2005: 377-380
[9]  Lowe D G.Distinctive Image Features from Scale-Invariant Keypoints.International Journal of Computer Vision,2004,60(2): 91-110
[10]  Bosch A,Zisserman A,Munoz X.Representing Shape with a Spatial Pyramid Kernel // Proc of the 6th ACM International Conference on Image and Video Retrieval.Amsterdam,Netherlands,2007: 401-408
[11]  Chen Jie,Zou Lihui,Zhang Juan,et al.The Comparison and Application of Corner Detection Algorithms.Journal of Multimedia,2009,4(6): 435-441
[12]  Mikolajczyk K,Schmid C.Scale Affine Invariant Interest Point Detectors.International Journal of Computer Vision,2004,60(1): 63-86
[13]  Lazebnik S,Schmid C,Ponce J.Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories // Proc of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition.New York,USA,2006: 2169-2178
[14]  Fischler M A,Bolles R C.Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography.Communications of the ACM,1981,24(6): 381-395
[15]  Boykov Y,Veksler O,Zabih R.Fast Approximate Energy Minimization via Graph Cuts.IEEE Trans on Pattern Analysis and Machine Intelligence,2001,23(21): 1222-1239
[16]  Gracias N,Mahoor M,Negahdaripour S,et al.Fast Image Blending Using Watersheds and Graph Cuts.Image and Vision Computing,2009,27(5): 597-607

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