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Object Detection and Tracking Using Interest Points
Bílý, Vojtěch ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This paper deals with object detection and tracking using iterest points. Existing approaches are described here. Inovated method based on Generalized Hough transform and iterative Hough-space searching is proposed in this paper. Generality of proposed detector is shown in various types of objects. Object tracking is designed as frame by frame detection.
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Panorama Automatically
Motáček, Vladimír ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
This paper concerns automatic panoramic image mosaicing. Images can be taken in any direction and in any order. This work uses basic technics such as Harris corner detection, correlation of image patches for finding correspondences and computing homography using RANSAC. The images are mapped to the reference image plane.
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3D Map Building Based on Stereo Vision for Mobile Robot Navigation
Babinec, Adam ; Orság, Filip (referee) ; Herman, David (advisor)
This thesis is dedicated to the subject of passive stereo vision in modern robotics. The work includes the design and implementation of autonomous passive binocular stereo vision system for mobile robot navigation. A three-dimensional local map is built up by aggregation of point clouds created by reprojection of the image pairs taken with stereocamera. The image pairs are reprojected using disparity map obtained with application of block matching algorithms on the image pairs. The local map is represented by voxel grid stored in an octree and it supports detection of moving obstacles on ray-casting principle. Visual odometry is calculated by tracking reprojected paired image features detected in series of image pairs. The system allows user to choose different approaches to the problem solving, it is platform and hardware-independent and provides graphic user interface.
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Panorama Automatically
Motáček, Vladimír ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
This paper concerns automatic panoramic image mosaicing. Images can be taken in any direction and in any order. This work uses basic technics such as Harris corner detection, correlation of image patches for finding correspondences and computing homography using RANSAC. The images are mapped to the reference image plane.
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3D Map Building Based on Stereo Vision for Mobile Robot Navigation
Babinec, Adam ; Orság, Filip (referee) ; Herman, David (advisor)
This thesis is dedicated to the subject of passive stereo vision in modern robotics. The work includes the design and implementation of autonomous passive binocular stereo vision system for mobile robot navigation. A three-dimensional local map is built up by aggregation of point clouds created by reprojection of the image pairs taken with stereocamera. The image pairs are reprojected using disparity map obtained with application of block matching algorithms on the image pairs. The local map is represented by voxel grid stored in an octree and it supports detection of moving obstacles on ray-casting principle. Visual odometry is calculated by tracking reprojected paired image features detected in series of image pairs. The system allows user to choose different approaches to the problem solving, it is platform and hardware-independent and provides graphic user interface.
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|
|
Object Detection and Tracking Using Interest Points
Bílý, Vojtěch ; Hradiš, Michal (referee) ; Juránek, Roman (advisor)
This paper deals with object detection and tracking using iterest points. Existing approaches are described here. Inovated method based on Generalized Hough transform and iterative Hough-space searching is proposed in this paper. Generality of proposed detector is shown in various types of objects. Object tracking is designed as frame by frame detection.
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