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High-resolution remote sensing image-based extensive deformation-induced landslide displacement field monitoring method

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International Journal of Coal Science & Technology 2015年第3期2卷 170-177页

作者： Shanjun Liu Han Wang Jianwei Huang Lixin Wu College of Resources and Civil Engineering NortheasternUniversity Shenyang 110819 China IOT Perception Mine Research Center China University ofMining and Technology Xuzhou 220116 China

Landslide is one of the multitudinous serious geological hazards. The key to its control and reduction lies on dynamic monitoring and early warning. The article points out the insufficiency of traditional measuring means applied for large-scale landslide monitoring and proposes the method for extensive landslide displacement field monitoring using high- resolution remote images. Matching of cognominal points is realized by using the invariant features of sift algorithm in image translation, rotation, zooming, and affine transformation, and through recognition and comparison of characteristics of high-resolution images in different landsliding periods. Following that, landslide displacement vector field can be made known by measuring the distances and directions between cognominal points. As evidenced by field application of the method for landslide monitoring at West Open Mine in Fushun city of China, the method has the attraction of being able to make areal measurement through satellite observation and capable of obtaining at the same time the information of large- area intensive displacement field, for facilitating automatic delimitation of extent of landslide displacement vector field and sliding mass. This can serve as a basis for making analysis of laws governing occurrence of landslide and adoption of countermeasures.

关键词： Landslide monitoring High-resolution remote sensing sift algorithm Deformation field

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Comparison of UAV Based Person Detection and Tracking Techniques

Comparison of UAV Based Person Detection and Tracking Techni...

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International Conference on Information and Communication Technologies (ICICT)

作者： Yousuf, Bilal M. Qazi, Hassaan Ali Hussain, Zakir NUCES Elect Dept FAST Karachi Pakistan

ISBN: (纸本)9781538621868

Motion detection, based on UAV surveillance, is one of the challenging task due to the continuous motion of the camera. In this paper, image alignment based on feature detection and feature matching has been presented using FAST algorithm which provides the important features whereas both RANSAC and MSAC algorithm is used to estimate the affine transformation utilizing a filter algorithm to remove the particular noise and make system easier. To detect the motion of a person, optical flow and background subtraction techniques are applied. Moreover, both techniques are compared for each ego-motion compensation algorithm used and subsequent results have been shown.

关键词： Motion detection Image segmentation Computer Vision Optical Flow Background segmentation sift algorithm

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Research on Image Stitching Technology for Focal Plane Array Terahertz Imaging 9

Research on Image Stitching Technology for Focal Plane Array...

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9th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) - Optoelectronic Materials and Devices for Sensing and Imaging

作者： Liu, Peng Han, Jiayue Tian, Fulan Wu, Zhiming Wang, Jun Univ Elect Sci & Technol China Sch Optoelect Sci & Engn Chengdu 610054 Sichuan Peoples R China Univ Elect Sci & Technol China State Key Lab Elect Thin Films & Integrated Devic Chengdu 610054 Sichuan Peoples R China

ISBN: (纸本)9781510623293

Terahertz focal plane array imaging technology can realize real-time terahertz imaging with high frame rate. But for a relatively large-sized object imaging, the array scanning should collect a plurality of original image data due to the small-sized focal plane terahertz detector array. In this paper we demonstrate terahertz image preprocessing, image register and image blending in detail. In order to reduce the image noise and enhance the image contrast, we manifest a novel method to preprocess the image by incorporating of Butterworth band-elimination filter and high-frequency nonlinear enhancement methods. Meanwhile, the enhanced image is stitched using the sift algorithm. The experimental result present that the proposed method can accurately mosaic the terahertz grayscale image, which is beneficial to realize the scanning and stitching imaging of large-area objects by focal plane array terahertz detector.

关键词： Terahertz focal plane array imaging image enhancement image stitching sift algorithm

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Interactive Segmentation for Character Extraction in Stone Inscriptions 2

Interactive Segmentation for Character Extraction in Stone I...

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2nd International Conference on Current Trends In Engineering and Technology (ICCTET)

作者： Mohana, H. S. Navya, K. Rajithkumar, B. K. Nagesh, C. MCE Dept Instrumentat & Technol Hassan Karnataka India MCE Dept Elect & Commun Hassan Karnataka India MCE Dept Elect & Elect Hassan Karnataka India

ISBN: (纸本)9781479979868

Indian stone inscriptions play an important role in the reconstruction of the history of India. Kannada is considered the oldest language next to Sanskrit, Prakrit, and Tamil. According to linguists, Tamil and Kannada branched off simultaneously from the Dravidian language of South India before the Christian Era. Indian epigraphy becomes more widespread over the 1st millennium, engraved on the faces of cliffs, on pillars, on tablets of stone, drawn in caves and on rocks, some gouged into the bedrock. Later they were also inscribed on palm leaves, coins, copper plates, and on temple walls. Preserving the heritage of ancient civilizations furthers the education and understanding of world cultures that may help to promote world peace. Without digital preservation of important cultural sites, future generations may never know the achievements of past civilizations, our heritage. As pollution, wars, and natural disasters take their toll on these ancient structures, it is increasingly important to accomplish preservation of those historical monuments for cultural heritage of a nation. Here in the paper, we took different images of stone inscriptions of Kannada characters from various regions in Karnataka. The images are processed such that its character is preprocessed, matched and extracted. Computer vision is concerned with the theory for building artificial systems that obtain information from images. They also document the development and use of written languages in India.

关键词： Stone inscriptions Kannada characters Image processing sift algorithm character extraction

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Strategies for Filtering Incorrect Matches in Seabed Mosaicking

Strategies for Filtering Incorrect Matches in Seabed Mosaick...

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MTS/IEEE OCEANS Conference

作者： Bagheri, H. Vardy, A. Bachmayer, R. Mem Univ Newfoundland Fac Engn & Appl Sci St John NF A1B 3X5 Canada

ISBN: (纸本)9780933957398

Monitoring animal populations in benthic habitats is essential to detecting changes in the local ocean environment and marine ecosystem. Images of animals on the seafloor are obtained by drop-cameras or digital still-cameras mounted on Remotely Operated Vehicles (ROVs). Population statistics have a wide range of applications in the fishery industry, oceanographic research (e. g. population studies, habitat analysis), as well as for the oil and gas industry (e. g. population monitoring for environmental impact assessment). Most ROV imaging transects deliberately produce overlap between successive or adjacent images, such that individual animals could appear in several images, which could yield inaccurate counts. In order to eliminate the possibility of counting the same animal more than once, the overlap between images must be detected and cropped from one of the images. We are developing a feature-based mosaicing algorithm that uses Scale Invariant Feature Transform (sift) features in which feature descriptors of images are extracted and appropriate correspondences are found and matched by computing the Standardized Euclidean distance between descriptor vectors. The Homography matrix between each pair of images is then estimated by RANdom SAmple Consensus (RANSAC). Finally, by using the estimated Homography the final mosaic is generated with a multi-band blending algorithm.

关键词： sift algorithm Improved sift feature matching Image matching

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The Research of TDI-CCDs imagery stitching using information mending algorithm

The Research of TDI-CCDs imagery stitching using information...

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5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Imaging Sensors and Applications

作者： Meng, Weican Zhu, Shulong Zhu, Baoshan Bian, Shaojun Informat Engn Univ Zhengzhou 450052 Peoples R China Beijing Novel Supertv Digital TV Technol Co Ltd Beijing 100085 Peoples R China

ISBN: (纸本)9780819497772

Non-collinear TDI-CCDs sensor was introduced and its imaging characteristics were analyzed. An information mending algorithm was adopted to stitch TDI-CCDs imagery. Key points of the algorithm are image matching and modeling of coordinate transformation between two images. Particularly, piecewise polynomial transformation model was adopted to describe the shift, rotation and the zoom factor of TDI-CCDs imagery after extracting tie points using sift algorithm. Coefficients of polynomial transformation were obtained through the solution of error equation constructed by large numbers of tie points and finally TDI-CCDs imagery was geometrically stitched. A certain high resolution satellite remotely sensed imagery were adopted to verify this algorithm. The experiments show that total precision of this information mending stitching algorithm reaches sub-pixel level.

关键词： TDI-CCDs image stitching sift algorithm tie points piecewise-polynomial

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Image local invariant feature description fusing multiple information

Image local invariant feature description fusing multiple in...

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5th International Conference on Machine Vision (ICMV) - Computer Vision, Image Analysis and Processing

作者： Zhu, Qidan Liu, Xue Cai, Chengtao Liu, Qingchen Harbin Engn Univ Coll Automat Harbin 150001 Peoples R China

ISBN: (纸本)9780819495877

In order to improve the invariance of the initial sift (Scale Invariant Feature Transform) and reduce mismatches when multiple local regions are similar, a novel method for image local invariant feature description based on sift is proposed. We introduce a new texture feature descriptor called center-symmetric improved local ternary patterns (CS-ILTP) that is a modified version of the well-known local binary patterns (LBP) feature and then fuse it with the global context information as the local feature descriptor in the sift algorithm. In the feature detection step, through iterative transformation, the initial feature point derived from the sift converges to affine invariant point and affine invariant region is extracted. In the feature description step, the dominant orientation is computed for each feature point. Then the image local feature descriptor is obtained by calculating the CS-ILTP and global context respectively. The feature matching experiment shows that the image local invariant feature descriptor present in this paper is invariant to image affine, scaling, rotation, illumination changes and so on. What's more, the number of correct matching features in artificial landmarks matching has increased by nearly 91% compared with the sift algorithm. The algorithm with high robustness and uniqueness is useful for the fields of robot navigation, image retrieval, etc.

关键词： local invariant feature affine invariance sift algorithm LBP descriptor global context

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Rapid Generation of Full View Image Based on Multi-camera 9

Rapid Generation of Full View Image Based on Multi-camera

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9th International Conference on Graphic and Image Processing (ICGIP)

作者： Zeng wen-Xian Li Wei Guo zhao-Kun Hebei Univ Econ & Business Informat & Technol Coll Shijiazhuang Hebei Peoples R China

ISBN: (数字)9781510617421

ISBN: (纸本)9781510617421

In order to obtain the full view image, proposing a fast method of generating full view images based on camera. the method based on multi-camera equipment and the spherical transform of the camera image acquisition using sphere transformation model. the improved sift algorithm is used to extract keypoints and match keypoints, and then calculating the transformation matrix based on the keypoints that filtered. finally, according to the projection matrix and transform matrix of each image, the images of subsequent cameras are spliced together. Using this method to generate full view images. the speed is fast and real-time.

关键词： full view image spherical transform sift algorithm image mosaic

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Research on Binocular Vision Absolute Localization Method for Indoor Robots Based on Natural Landmarks

Research on Binocular Vision Absolute Localization Method fo...

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Chinese Automation Congress (CAC)

作者： An, Xuecheng Hong, Wei Xia, Hua Jilin Univ Coll Commun Engn Changchun 130022 Peoples R China

ISBN: (纸本)9781467371896

A method is put forward to extract feature points in the indoor ceiling corner as natural landmarks by using binocular visual system and to go further to achieve absolute localization for robot. Firstly, this method puts forward a kind of double threshold Features from Accelerated Segment Test (FAST) - Scale Invariant Feature Transform (sift) matching algorithm, in which FAST algorithm is applied to extract the feature points in the ceiling corner to reduce the number of feature points effectively. For each feature point, sift descriptor and matching algorithm is remained so that the advantages of the sift algorithm is inherited. And then the reasonable sampling rules are introduced to create natural landmark database, the sift descriptors of feature points in the ceiling corner and their 3-D world coordinates are saved into natural landmark database in offline mode, When robot walks, the feature points are identified by matching left image with all sift descriptors in database and then their world coordinates are obtained. In the meantime, the distances between the feature points and robot are measured by matching left image with the right one. Finally, the world coordinates of the robot are computed according to the principle of triangular localization. To demonstrate the effectiveness of a series of method proposed in this paper, we do the corresponding physical experiments. Experimental results show that indoor robot absolute localization method proposed in this paper has a good performance in real-time, reliability and accuracy.

关键词： binocular vision natural landmark robot absolute localization FAST algorithm sift algorithm

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A Novel System of Real Time Hand Tracking and Gesture Recognition

A Novel System of Real Time Hand Tracking and Gesture Recogn...

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International Conference on Inventive Computing and Informatics (ICICI)

作者： Dhote, Anagha P. Parihar, Vikramsingh R. Sonar, Rashmi P. Nage, Roshani. S. Prof Ram Meghe Coll Engn & Management Dept Comp Sci & Engn Amravati India Prof Ram Meghe Coll Engn & Management Dept Elect Engn Amravati India

ISBN: (纸本)9781538640319

This paper presents a novel system of hand tracking and gesture recognition in real time domain. In this paper, sift algorithm is used to generate image features which are invariant to image translation, scaling, rotation and partially invariant to illumination changes. The extracted key points are matched with saved key points and the image is recognized. We carried out experimentations on MATLAB platform and have successfully identified a number of gestures. To prove the versatility of our system, we have used different light conditions in real time. The obtained results are fast and encouraging.

关键词： Gesture Recognition Hand Tracking Real time system sift algorithm

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