Description: 两篇关于图像拼接的英文论文，拼接效果非常好，希望对大家有用。-Two papers in English on the image mosaic, mosaic effect is very good, want to be useful to everyone. Platform: |
Size: 4743168 |
Author:李洋 |
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Description: GDAL支持的Morton 编码金字塔无缝漫游工具，从2007年开始，不断更新到2011年，偶的小业余研究。底层基于GDAL, 支持很多冷门格式。使用Morton金字塔重构二维数据，加上内存映射文件的帮助，浏览GB级影像没有问题。内嵌带接缝处理的透明分块条带处理接口，无需了解金字塔，也能透明对GB级影像进行各种处理。内嵌直方图均衡和模板卷积的例子，演示如何透明的开发处理算法。附带重要的功能是“尺度不变特征SIFT”的特征提取，本来是上学时的论文，经过这些年零敲碎打的改造，现在能进行全自动、半自动、手动控制点提取、模型最小二乘估计，纠正功能，最终把偶的风景照拼接成全景。由于离开原先行业，没再用真正的遥感图试过，只当好玩吧！内附代码、范例、详细说明书。性能肯定不如SIFT原版范例。
核心算法见
Matlab+C SIFT 特征提取与匹配演示程序
http://download.csdn.net/source/3472933
http://www.pudn.com/downloads372/sourcecode/graph/texture_mapping/detail1607889.html-Morton GDAL support seamless roaming pyramid coding tools, beginning in 2007, constantly updated to 2011, even the little amateur research. Bottom based on GDAL, support for many unpopular formats. Reconstruction of two-dimensional data using the Morton pyramid, with the help of memory mapped files, browse the GB-level image is no problem. Embedded with the seaming strip of transparent block processing interface, no understanding of the pyramid, but also transparent to the GB-level images of various processing. Embedded histogram equalization and template convolution example, shows how transparent the development of processing algorithms. With important function is to "scale-invariant features of SIFT" feature extraction, could have been school papers, after all these years of piecemeal reform, now fully automatic, semi-automatic, manual control points extraction, model least squares estimation to correct function, eventually even spliced into a panoramic landscape photo. Since leaving Platform: |
Size: 12399616 |
Author:流浪小狗 |
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Description: 一种基于特征点的全自动的无缝图像拼接的方法，可以做到全景的拼接。-Automatic based on feature points of a seamless image mosaic method can do panoramic stitching. Platform: |
Size: 151552 |
Author:guxue |
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Description: 图像的自动拼接和缝补，采用sift算法作为匹配，是学习全景图像拼接的基础，大家可以下载下来-Automatic image stitching and sewing, using sift algorithm as a match, is the basis for learning panoramic image mosaic, you can download to see Platform: |
Size: 380928 |
Author:蒋飞云 |
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Description: Abstract—Constraining by cameras’ view-angles of the
outdoor monitoring systems, the panoramic digital images
fail to be obtained directly from photographing. A method is
proposed on the basis of the scale invariance feature
transform (i.e. SIFT) algorithm to stitch images captured by
the turning video cameras together to form panoramic
images. Based on the SIFT features and the retrofitted KD-
Tree structure, the BBF searching strategy is employed to
match feature points. Then in a post-processing pass, the
Ransac algorithm is adopted to remove the mismatching
feature points. Photos captured by a surveillance camera are
taken as the input to test the proposed method. According to
the test, the whole processing time of stitch is reduced while
the fidelity of resulting stitched panoramic images is
ensured.-Abstract—Constraining by cameras’ view-angles of the
outdoor monitoring systems, the panoramic digital images
fail to be obtained directly from photographing. A method is
proposed on the basis of the scale invariance feature
transform (i.e. SIFT) algorithm to stitch images captured by
the turning video cameras together to form panoramic
images. Based on the SIFT features and the retrofitted KD-
Tree structure, the BBF searching strategy is employed to
match feature points. Then in a post-processing pass, the
Ransac algorithm is adopted to remove the mismatching
feature points. Photos captured by a surveillance camera are
taken as the input to test the proposed method. According to
the test, the whole processing time of stitch is reduced while
the fidelity of resulting stitched panoramic images is
ensured. Platform: |
Size: 345088 |
Author:bou33aza |
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Description: MATTHEW BROWN AND DAVID G. LOWE两位大牛写的全景拼接文章-MATTHEW BROWN AND DAVID G. LOWE two large cattle written article panorama stitching Platform: |
Size: 943104 |
Author:吴辉 |
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Description: 自动全景图生成示例程序，Matthew Brown and David G. Lowe的Automatic Panoramic Image Stitching using Invariant Features文章中的算法-The Automatic Panoramic Image Stitching theory is developed by Matthew Brown and David G. Lowe Platform: |
Size: 1240064 |
Author:king |
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Description: 详细讲解了25个MATLAB图像与视频处理实用案例（含可运行程序），涉及雾霾去噪、答题卡自动阅卷、肺部图像分割、小波数字水印、图像检索、人脸二维码识别、车牌定位及识别、霍夫曼图像压缩、手写数字识别、英文字符文本识别、眼前节组织提取、全景图像拼接、小波图像融合、基于语音识别的音频信号模拟灯控、路面裂缝检测识别、视频运动估计追踪、Simulink图像处理等多项重要技术(Explain in detail the 25 MATLAB image and video processing utility case (including operating procedures), involving haze denoising, sheet automatic marking, lung image segmentation, wavelet digital watermarking, image retrieval, face recognition, license plate location and two-dimensional code recognition, image compression, Hoffman handwritten digit recognition, character recognition, text English anterior segment tissue extraction, panoramic image mosaic, image fusion, light control, analog audio signal of speech recognition pavement crack detection and identification, video tracking, motion estimation of Simulink image processing technology based on a number of important) Platform: |
Size: 1324032 |
Author:糖糖的小糖
|
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