Universiti Teknologi Malaysia Institutional Repository

Comparative analysis of various camera input for videogrammetry

Ahmad, N. and Azri, S. and Ujang, U. and Cuétara, M. G. and Retortillo, G. M. and Salleh, S. M. (2019) Comparative analysis of various camera input for videogrammetry. In: 6th International Conference on Geomatics and Geospatial Technology, GGT 2019, 1-3 Oct 2019, Kuala Lumpur, Malaysia.


Official URL: http://dx.doi.org/10.5194/isprs-archives-XLII-4-W1...


Videogrammetry is a technique to generate point clouds by using video frame sequences. It is a branch of photogrammetry that offers an attractive capabilities and make it an interesting choice for a 3D data acquisition. However, different camera input and specification will produce different quality of point cloud. Thus, it is the aim of this study to investigate the quality of point cloud that is produced from various camera input and specification. Several devices are using in this study such as Iphone 5s, Iphone 7+, Iphone X, Digital camera of Casio Exilim EX-ZR1000 and Nikon D7000 DSLR. For each device, different camera with different resolution and frame per second (fps) are used for video recording. The videos are processed using EyesCloud3D by eCapture. EyesCloud3D is a platform that receive input such as videos and images to generate point clouds. 3D model is constructed based on generated point clouds. The total number of point clouds produced is analyzed to determine which camera input and specification produce a good 3D model. Besides that, factor of generating number of point clouds is analyzed. Finally, each camera resolution and fps is suggested for certain applications based on generated number of point cloud.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:3d model, amera, point clouds
Subjects:H Social Sciences > HT Communities. Classes. Races > HT101-395 Sociology, Urban
Divisions:Built Environment
ID Code:91907
Deposited By: Narimah Nawil
Deposited On:28 Jul 2021 16:48
Last Modified:28 Jul 2021 16:48

Repository Staff Only: item control page