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Panoramatic View Reconstruction
Kuzdas, Oldřich ; Kohoutek, Michal (referee) ; Říha, Kamil (advisor)
This paper deals step by step with process of stitching images taken by perspective camera rotated by its optical center into the panoramic image. There are described keypoint searching algorhytms, possibilities of calculating homography matrix and methods of eliminating unwanted seams between source images in final panoramic image. A part of this paper is also standalone application in which are implemented some algorhytms described in the work.
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Object similarity detection
Přidal, Oldřich ; Gogol, František (referee) ; Richter, Miloslav (advisor)
The aim of this thesis was to make a program for object finding, object segmentation and similarity object detection in the image. Object are representing by cars. Description of image making, image preprocessing, geometrical transform and Hough transform was written in the theoretical part of the thesis. Also basic morphological operations, corner detection algorithms and methods of object similarity detection were described in this part. The practical part of the thesis focus to realization of single segments from how to make image, through main program analysis and auxiliary functions to similarity results evaluation. Main program is devided to four parts. The program is preprocessed in the first part. The geometrical transforms are used in the second part and the object similarity is detected in the third part. The last part shows the results. The algorithm is realized in C++ language using the OpenCV library.
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Extracting Control Points from Image Pairs for Perspective Transformation
Hajič, Jakub ; Blažek, Jan (advisor) ; Soukup, Jindřich (referee)
Image registration is a part of many higher level image processing tasks. This thesis presents a novel approach to control point extraction as part of pairwise image registration. In combination with a suitable matching and model estimation algorithm, the extracted points could be used for estimating a global perspective transformation between the images. Our method extracts several features from image patches surrounding every point, and calculates an interest measure based on them. We use a supervised learning algorithm to obtain parameters of this extraction method. A control point matching algorithm is presented which considers the surrounding image patches of the control points and calculates a rotationally invariant similarity measure. We compare the results between our method of control point extraction and the Harris corner detector, and discuss the results of the matching and methods to improve both the matching and the control point extraction.
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Object similarity detection
Přidal, Oldřich ; Gogol, František (referee) ; Richter, Miloslav (advisor)
The aim of this thesis was to make a program for object finding, object segmentation and similarity object detection in the image. Object are representing by cars. Description of image making, image preprocessing, geometrical transform and Hough transform was written in the theoretical part of the thesis. Also basic morphological operations, corner detection algorithms and methods of object similarity detection were described in this part. The practical part of the thesis focus to realization of single segments from how to make image, through main program analysis and auxiliary functions to similarity results evaluation. Main program is devided to four parts. The program is preprocessed in the first part. The geometrical transforms are used in the second part and the object similarity is detected in the third part. The last part shows the results. The algorithm is realized in C++ language using the OpenCV library.
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Panoramatic View Reconstruction
Kuzdas, Oldřich ; Kohoutek, Michal (referee) ; Říha, Kamil (advisor)
This paper deals step by step with process of stitching images taken by perspective camera rotated by its optical center into the panoramic image. There are described keypoint searching algorhytms, possibilities of calculating homography matrix and methods of eliminating unwanted seams between source images in final panoramic image. A part of this paper is also standalone application in which are implemented some algorhytms described in the work.
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