A Comparative Evaluation of Well-known Feature Detectors and Descriptors

Işık, Şahin

doi:10.18100/ijamec.60004

Cited by 51 publications

(31 citation statements)

References 14 publications

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“…Precision value is one of the criteria considered for the comparison of image matching methods . The highest precision value points to the level of relation for matching properties . The precision value is calculated as shown in Eq.…”

Section: Methodsmentioning

confidence: 99%

Solving Double‐Sided Puzzles: Automated Assembly of Torn‐up Banknotes Evidence

Yılmaz

Nabiyev

2019

Journal of Forensic Sciences

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Reconstruction of 2D object is a problem concerning many different fields such as forensics science, archiving, and banking. In the literature, it is considered as one‐sided puzzle problem. But this study handles torn banknotes as a double‐sided puzzle problem for the first time. In addition to that, a new dataset (ToB) is created for solving this problem. A selection approach based on the Borda count method is adopted in order to make the right decision as to which keypoint‐based method is to be used in the proposed reconstruction system. The selection approach was determined the Accelerated‐KAZE (AKAZE) as the most successful keypoint‐based method. This study also proposes new measures determining the success ratio of the reconstructed banknotes and calculating their loss ratio. When the torn banknotes were reconstructed with the AKAZE‐based reconstruction system, the average success rate was calculated as 95.55% by the proposed metric.

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Section: Methodsmentioning

confidence: 99%

Solving Double‐Sided Puzzles: Automated Assembly of Torn‐up Banknotes Evidence

Yılmaz

Nabiyev

2019

Journal of Forensic Sciences

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“…These processes result in a scale invariant sparse point cloud (see Figure 15B). Although SIFT is the most commonly feature extraction algorithm used in UAS processing software packages, different approaches, i.e., SURF, KAZE, AKAZE, ORB, and BRISK have been successfully used for image matching for mapping purposes [68][69][70]. In order to increase the density of the point cloud, a conceptual extension of stereo photogrammetry with the use of multiple images (MVS) instead of stereo-pairs, is implemented [71], resulting in the generation of a denser point cloud (see Figure 15C).…”

Section: Surface Reconstruction and Structure From Motion (Sfm)mentioning

confidence: 99%

UAS for Wetland Mapping and Hydrological Modeling

Jeziorska

2019

Remote Sensing

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The miniaturization and affordable production of integrated microelectronics have improved in recent years, making unmanned aerial systems (UAS) accessible to consumers and igniting their interest. Researchers have proposed UAS-based solutions for almost any conceivable problem, but the greatest impact will likely be in applications that exploit the unique advantages of the technology: work in dangerous or difficult-to-access areas, high spatial resolution and/or frequent measurements of environmental phenomena, and deployment of novel sensing technology over small to moderate spatial scales. Examples of such applications may be the identification of wetland areas and use of high-resolution spatial data for hydrological modeling. However, because of the large—and growing—assortment of aircraft and sensors available on the market, an evolving regulatory environment, and limited practical guidance or examples of wetland mapping with UAS, it has been difficult to confidently devise or recommend UAS-based monitoring strategies for these applications. This paper provides a comprehensive review of UAS hardware, software, regulations, scientific applications, and data collection/post-processing procedures that are relevant for wetland monitoring and hydrological modeling.

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“…In the second case, we compared 10 automatic feature extraction methods to acquire the image coordinates of the center of the 36 circle points on the photogrammetric board: FAST, Harris, Shi and Tomasi, SURF, MSER, kp Harris (an improved version of Harris), BRISK, SUSAN, SIFT, and Moravec [16][17][18][19]. The results are shown in Figure 8, which indicate that the MSER method is the best technique to detect only the circle center of the 36 points.…”

Section: Journal Of Sensorsmentioning

confidence: 99%

Deformation Measurement of a Railroad Bridge Using a Photogrammetric Board without Control Point Survey

Lee

Han

2018

Journal of Sensors

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We propose a photogrammetric board to measure the deformation of a railroad bridge using close-range photogrammetry. The method can be used to compute the exterior orientation parameters and determine three-dimensional (3D) coordinates from images without measuring the control points. The bridge deformation measured using the proposed method was compared to that measured with a 3D laser tracker. The measurement error was within 1 mm, and the proposed method can measure the deformation of an I-plate girder of a railroad bridge. This method may be an alternative to precise stability inspections and bridge inspections.

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A Comparative Evaluation of Well-known Feature Detectors and Descriptors

Cited by 51 publications

References 14 publications

Solving Double‐Sided Puzzles: Automated Assembly of Torn‐up Banknotes Evidence

Solving Double‐Sided Puzzles: Automated Assembly of Torn‐up Banknotes Evidence

UAS for Wetland Mapping and Hydrological Modeling

Deformation Measurement of a Railroad Bridge Using a Photogrammetric Board without Control Point Survey

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