Digital image reasoning for tracking excavation activities

Quiñones-Rozo, C. A.; Hashash, Youssef M. A.; Liu, L.Y.

doi:10.1016/j.autcon.2007.10.008

Cited by 28 publications

(5 citation statements)

References 12 publications

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“…37 Color-and shape-based pattern recognition algorithms are commonly used in machine vision applications: a few examples of these are Jain and Vailaya 26 showing the effectiveness of using simple features for pattern recognition; in addition, Colombo and Del Bimbo 12 describing a system for pictorial content representation and recognition based on color distribution features. Moreover, Mojsilovic et al 34 determined the basic categories used by humans in judging similarity of color patterns, their relative importance and relationships, as well as hierarchy of rules.…”

Section: Electrode Identification By Using Multiple Images From Diffementioning

confidence: 99%

Single Camera Photogrammetry System for EEG Electrode Identification and Localization

Baysal

Şengül

2010

Ann Biomed Eng

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In this study, photogrammetric coordinate measurement and color-based identification of EEG electrode positions on the human head are simultaneously implemented. A rotating, 2MP digital camera about 20 cm above the subject's head is used and the images are acquired at predefined stop points separated azimuthally at equal angular displacements. In order to realize full automation, the electrodes have been labeled by colored circular markers and an electrode recognition algorithm has been developed. The proposed method has been tested by using a plastic head phantom carrying 25 electrode markers. Electrode locations have been determined while incorporating three different methods: (i) the proposed photogrammetric method, (ii) conventional 3D radiofrequency (RF) digitizer, and (iii) coordinate measurement machine having about 6.5 mum accuracy. It is found that the proposed system automatically identifies electrodes and localizes them with a maximum error of 0.77 mm. It is suggested that this method may be used in EEG source localization applications in the human brain.

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Section: Electrode Identification By Using Multiple Images From Diffementioning

confidence: 99%

Single Camera Photogrammetry System for EEG Electrode Identification and Localization

Baysal

Şengül

2010

Ann Biomed Eng

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“…5,28 The matrix can be used in image reasoning. We used a shape-and color-based pattern recognition algorithm (also used in Baysal's study 5 ) inspired by the studies in machine vision.…”

Section: Electrode Recognition and Matchingmentioning

confidence: 99%

A Single Camera Photogrammetry System for Multi-angle Fast Localization of EEG Electrodes

Qian

Yang

2011

Ann Biomed Eng

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Photogrammetry has become an effective method for the determination of electroencephalography (EEG) electrode positions in three dimensions (3D). Capturing multi-angle images of the electrodes on the head is a fundamental objective in the design of photogrammetry system for EEG localization. Methods in previous studies are all based on the use of either a rotating camera or multiple cameras, which are time-consuming or not cost-effective. This study aims to present a novel photogrammetry system that can realize simultaneous acquisition of multi-angle head images in a single camera position. Aligning two planar mirrors with the angle of 51.4°, seven views of the head with 25 electrodes are captured simultaneously by the digital camera placed in front of them. A complete set of algorithms for electrode recognition, matching, and 3D reconstruction is developed. It is found that the elapsed time of the whole localization procedure is about 3 min, and camera calibration computation takes about 1 min, after the measurement of calibration points. The positioning accuracy with the maximum error of 1.19 mm is acceptable. Experimental results demonstrate that the proposed system provides a fast and cost-effective method for the EEG positioning.

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“…There also exist another group of studies that customize its analytics for applications in civil http infrastructure [10][11][12][13][14][15][16][17][18][19][20][21]. In addition to these, image-based technology has been applied in construction engineering and management applications with respect to site visualization [22], progress monitoring and assessment [10,23], quantity measurement and takeoff [24,25], geometric quality control and verification [26], assessment of damage caused by catastrophes [27], mobile contextual awareness [28], and preservation of evidence for dispute resolution [29].…”

Section: Introductionmentioning

confidence: 99%

Automated as-built 3D reconstruction of civil infrastructure using computer vision: Achievements, opportunities, and challenges

Fathi¹,

Dai

Lourakis

2015

Advanced Engineering Informatics

172

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Digital image reasoning for tracking excavation activities

Cited by 28 publications

References 12 publications

Single Camera Photogrammetry System for EEG Electrode Identification and Localization

Single Camera Photogrammetry System for EEG Electrode Identification and Localization

A Single Camera Photogrammetry System for Multi-angle Fast Localization of EEG Electrodes

Automated as-built 3D reconstruction of civil infrastructure using computer vision: Achievements, opportunities, and challenges

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