Factors Affecting the Accuracy of an Active Vision Head

Γαστεράτος, Αντώνιος; Sandini, Giulio

doi:10.1007/3-540-46014-4_37

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…[4] Fig. 2 Disparity of cameras [3] Making 3D image can be conducted by forcing each eye to see only one image that's consistent with the position of eye. So, left eye will only see the left image and right image will only see the right image.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of anaglyph method for stereo microscope image display

Izmantoko

Suksmono

Mengko

2011

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics

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in this paper, we introduced an easy and cheap way to display the image of object observed by stereo microscope. Anaglyph method, which uses colour filters of red and cyan, is used as the method to display the image. The observation objects are electrical components, Bougainville and sludge worm (Tubifex tubifex). Using this system, object that is observed by stereo microscope can be observed by many observers together at the same time. The results of this system are 3D anaglyph images and 3D anaglyph videos of observation objects.

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Section: Introductionmentioning

confidence: 99%

“…But it is a hard to find two cameras that are perfectly matched. [3] Besides that, the alignment of the cameras has to be set well without any rolling, pitching, and yawing of them. [4] Fig.…”

Section: Introductionmentioning

confidence: 99%

Implementation of anaglyph method for stereo microscope image display

Izmantoko

Suksmono

Mengko

2011

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics

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“…The two alternatives for efficiently estimating disparity are either to precisely align the stereo camera rig and then perform the demanded rectification (leading to simple scanline searches), or to have arbitrary stereo cameras setup and avoid any calibration (performing searching throughout blocks). Accurately aligned stereo devices are very expensive, as they demand calibration of a series of factors in micrometer scale (Gasteratos & Sandini 2002). On the other hand, non-ideal stereo configurations usually produce inferior results, as they fail to satisfy the epipolar constraint.…”

Section: Uncalibrated Stereo Imagesmentioning

confidence: 99%

Μελέτη Και Υλοποίηση Συστημάτων Στερεοσκοπικής Όρασης Για Ρομποτικές Εφαρμογές

Ναλπαντίδης¹

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Stereo vision has been chosen by natural selection as the most common way to estimate the depth of objects. A pair of two-dimensional images is enough in order to retrieve the third dimension of the scene under observation. The importance of this method is great, apart from the living creatures, for sophisticated machine systems, as well. During the last years robotics has made significant progress and the state of the art is now about achieving autonomous behaviors. In order to accomplish the target of robots being able to move and act autonomously, accurate representations of their environments are required. Both these fields, stereo vision and accomplishing autonomous robotic behaviors, have been in the center of this PhD thesis. The issue of robots using machine stereo vision is not a new one. The number and significance of the researchers that have been involved, as well as the publishing rate of relevant scientific papers indicates an issue that is interesting and still open to solutions and fresh ideas rather than a banal and solved issue.The motivation of this PhD thesis has been the observation that the combination of stereo vision usage and autonomous robots is usually performed in a simplistic manner of simultaneously using two independent technologies. This situation is owed to the fact that the two technologies have evolved independently and by different scientific communities. Stereo vision has mainly evolved within the field of computer vision. On the other hand, autonomous robots are a branch of the robotics and mechatronics field. Methods that have been proposed within the frame of computer vision are not generally satisfactory for use in robotic applications. This fact is due to that an autonomous robot places strict constraints concerning the demanded speed of calculations and the available computational resources. Moreover, their inefficiency is commonly owed to factors related to the environments and the conditions of operation. As a result, the used algorithms, in this case the stereo vision algorithms, should take into consideration these factors during their development. The required compromises have to retain the functionality of the integrated system.The objective of this PhD thesis is the development of stereo vision systems customized for use in autonomous robots. Initially, a literature survey was conducted concerning stereo vision algorithms and corresponding robotic applications. The survey revealed the state of the art in the specific field and pointed out issues that had not yet been answered in a satisfactory manner. Afterwards, novel stereo vision algorithms were developed, which satisfy the demands posed by robotic systems and propose solutions to the open issues indicated by the literature survey. Finally, systems that embody the proposed algorithms and treat open robotic applications' issues have been developed.Within this dissertation there have been used for the first time and combined in a novel way various computational tools and ideas originating from different scientifi...

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Study the Effects of Camera Misalignment on 3D Measurements for Efficient Design of Vision-Based Inspection Systems

Dwarakanath

Griwodz

Halvorsen

et al. 2014

Artificial Intelligence: Methods and Applications

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Abstract. Vision based inspection systems for 3D measurements using single camera, are extensively used in several industries, today. Due to transportation and/or servicing of these systems, the camera in this system is prone to mis-alignment from its original position. In such situations, although a high quality calibration exists, the accuracy of 3D measurement is a↵ected. In this paper, we propose a statistical tool or methodology which involves. a) Studying the significance of the e↵ects of 3d measurements errors due to camera mis-alignment. b) Modelling the error data using regression models. c) Deducing expressions to determine tolerances of camera mis-alignment for an acceptable inaccuracy of the system. This tool can be used by any 3D measuring system using single camera. Resulting tolerances can be directly used for mechanical design of camera placement in the vision based inspection systems.

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Factors Affecting the Accuracy of an Active Vision Head

Cited by 5 publications

References 11 publications

Implementation of anaglyph method for stereo microscope image display

Implementation of anaglyph method for stereo microscope image display

Μελέτη Και Υλοποίηση Συστημάτων Στερεοσκοπικής Όρασης Για Ρομποτικές Εφαρμογές

Study the Effects of Camera Misalignment on 3D Measurements for Efficient Design of Vision-Based Inspection Systems

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