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Öğe Photogrammetric wireframe and dense point cloud 3d modelling of historical structures: The study of sultan selim mosque and yusuf aga library in konya, Turkey(Copernicus GmbH, 2019) Altuntas C.; Mert S.; Yaman G.; Cengiz Y.; Sonmez M.The photogrammetry enables to getting high accuracy measurement with low-cost and easy application in documentation of historical structures. The object details are signified with lines in cultural heritage documentation by photogrammetry. The combination of all the lines create 3D wireframe model of the measurement object. In addition, patch surfaces of the wireframe are mapped with the texture from the images for more realistic visualization. On the other hand, the progress on computer vision and image processing techniques is allowing automatically perform the photogrammetric process. A large number of points that are called dense point cloud can be measured from coverage area of multi view images. The dense point cloud represents the object shape with small space measured points while the wireframe photogrammetry is representing the object with lines. In this study these two photogrammetric methods were evaluated with respect to visualization, cost, labour and measurement time through 3D modelling of historical structures of Sultan Selim Mosque and Yusuf Aga Library. © 2019 Authors.Öğe Pile volume measurement by range imaging camera in Indoor environment(International Society for Photogrammetry and Remote Sensing, 2014) Altuntas C.Range imaging (RIM) camera is recent technology in 3D location measurement. The new study areas have been emerged in measurement and data processing together with RIM camera. It has low-cost and fast measurement technique compared to the current measurement techniques. However its measurement accuracy varies according to effects resulting from the device and the environment. The direct sunlight is affect measurement accuracy of the camera. Thus, RIM camera should be used for indoor measurement. In this study gravel pile volume was measured by SwissRanger SR4000 camera. The measured volume is acquired as different 8.13% from the known.Öğe The registration of laser scanner three-dimensional point clouds using two-dimensional images recorded with a sensor combination camera(2012) Altuntas C.; Yildiz F.The laser scanning method has been used for three-dimensional (3-D) modelling in many applications for over two decades. Laser scanners collect spatial point data from the scan area in a short time, and laser scanning data have their own local co-ordinates in each station. The other hand, 3-D modelling applications require many scans from different stations to obtain occlusion free 3-D model. In such a case, all scans must be registered into a common reference co-ordinate system. Registration of point cloud into the reference co-ordinate system is still an important research topic in photogrammetry and computer sciences fields. Many methods have been developed for registration of point clouds. Nevertheless, if there is no implicit entity on the scan area, these methods are not practicable because corresponding points can not be selected from the point clouds. In this study point clouds were registered by the image recorded by the sensor combination camera. Although many laser scanners have integrated camera, a high resolution digital camera is usually mounted to the laser scanner for efficient 3-D modelling. The image based registrations with the sensor combination of laser scanner and camera were performed by making use of a single image, relative orientation and bundle adjustment triangulation methods. The results were compared with the iterative closest point (ICP) which is the most widely used method for registration of point clouds. © 2012 Old City Publishing, Inc.Öğe The registration of point cloud data from range imaging camera(2013) Altuntas C.; Yildiz F.The measurement and 3D modelling techniques have been evolved as parallel technological improvements. Every new technique provides an opportunity for low-cost and fast measurements. The latest method for 3D measurement is the range imaging (RIM) camera. The new period in photogrammetry and 3D modelling applications has begun with the RIM cameras, and it has brought new research areas for scientists. The measurement capabilities, accuracies and application areas of RIM cameras have been increased by the time. In this study, the registration of point cloud data of RIM camera was investigated to perform 3D modelling task. © 2013 Vilnius Gediminas Technical University (VGTU) Press Technika.Öğe Registration of terrestrial laser scanner point clouds by one image(International Society for Photogrammetry and Remote Sensing, 2008) Altuntas C.; Yildiz F.Registration of point clouds in the same coordinate system is the most important step in processing of terrestrial laser scanner measurements. Used methods for registration of point clouds have required scanned overlap area betweeen point clouds or adequate points for every scan in common coordinate system. These procedures are required time and labor more than necessary. In this study, a method has been explained for registration of point clouds in the same coordinate system by one image, which covers the scan area of each point clouds. Essentially, the method is performed in two steps. The first step for the process is calculated the exterior orientation (rotation angles and translation components) of each point clouds with respect to image coordinate system, and image and each scan axes is maked parallel for the other. Translation vector is determined by difference of projection center coordinates in each scan coordinate system. Evaluate of accuracy of the method used here is done by beforhand selected control points coordinates. Seen in the procedure, the method can be used for registration of laser scanner data but accuracy of registration of the method has yet sufficiently. The accuracies of the registration can be increased with removed distortion and other errors.Öğe Surveying and documentation of detailed historical heritage by laser scanning(International Society for Photogrammetry and Remote Sensing, 2007) Altuntas C.; Yildiz F.; Karabork H.; Yakar M.; Karasaka L.In this research, surveying and documentation of historical heritage has been aimed by using laser scanning. Developing technologies has brought out in surveying and documentation of historical heritage. Laser scanning which is the last technology in survey is proper in particularly detailed small objects. Traditional survey techniques have some limitation representation detailed object particularly elements characterized by plastic forms and complex geometrical forms. Laser scanner quickly measures with desired interval of concern object in form x,y,z coordinates. With obtaining point cloud, all decorative details of objects are visualization by enough accuracy and desired form with proper software. In this paper, Sidamara's grave in Archeological Museum of Konya, which have been detailed, has been measured and modeled. The surface models generated from point clouds have been visualization in color and gray scale mode. © 2007 International Society for Photogrammetry and Remote Sensing. All rights reserved.Öğe Urban area change detection using time series aerial images(International Society for Photogrammetry and Remote Sensing, 2018) Altuntas C.The urban area should be imaged in three-dimensional (3D) for planning, inspection and management. In addition fast urbanisation requires detection the urban area changes which have been occurred with new buildings, additional floor to current buildings and excavations. 3D surface model of urban area enables to extracting high information from them. On the other hand high density spatial data should be measured to creating 3D digital terrain surface model. The dense image matching method makes 3D measurement with high density from the images in a short time. The aim of this study is detection the urban area changes via comparison of time series point cloud data from historical stereoscopic aerial images. The changes were detected with the difference of these digital elevation models. The study area was selected from Konya city in Turkey, and it has a large number of new buildings and changes in topography. Dense point cloud data were created from historical aerial images belong to years of 1951, 1975 and 2010. Every three-dimensional point cloud data were registered to global georeferenced coordinate system with ground control points created from the imaged objects such as building corner, fence, wall and etc. Then urban changes were detected with comparing the dense point cloud data by exploiting the iterative closest point (ICP) algorithm. Consequently, the urban changes were detected from point to surface distances between image based point clouds. © Authors 2018.
