Comparative analysis of various camera input for videogrammetry
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...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/91907/1/NAhman2019_ComparativeAnalysisofVariousCamera.pdf |
| _version_ | 1796865320372142080 |
|---|---|
| author | Ahmad, N. Azri, S. Ujang, U. Cuétara, M. G. Retortillo, G. M. Salleh, S. M. |
| author_facet | Ahmad, N. Azri, S. Ujang, U. Cuétara, M. G. Retortillo, G. M. Salleh, S. M. |
| author_sort | Ahmad, N. |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T20:55:11Z |
| format | Conference or Workshop Item |
| id | utm.eprints-91907 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T20:55:11Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | utm.eprints-919072021-07-28T08:48:34Z http://eprints.utm.my/91907/ Comparative analysis of various camera input for videogrammetry Ahmad, N. Azri, S. Ujang, U. Cuétara, M. G. Retortillo, G. M. Salleh, S. M. HT101-395 Sociology, Urban 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. 2019 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/91907/1/NAhman2019_ComparativeAnalysisofVariousCamera.pdf 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. http://dx.doi.org/10.5194/isprs-archives-XLII-4-W16-63-2019 |
| spellingShingle | HT101-395 Sociology, Urban Ahmad, N. Azri, S. Ujang, U. Cuétara, M. G. Retortillo, G. M. Salleh, S. M. Comparative analysis of various camera input for videogrammetry |
| title | Comparative analysis of various camera input for videogrammetry |
| title_full | Comparative analysis of various camera input for videogrammetry |
| title_fullStr | Comparative analysis of various camera input for videogrammetry |
| title_full_unstemmed | Comparative analysis of various camera input for videogrammetry |
| title_short | Comparative analysis of various camera input for videogrammetry |
| title_sort | comparative analysis of various camera input for videogrammetry |
| topic | HT101-395 Sociology, Urban |
| url | http://eprints.utm.my/91907/1/NAhman2019_ComparativeAnalysisofVariousCamera.pdf |
| work_keys_str_mv | AT ahmadn comparativeanalysisofvariouscamerainputforvideogrammetry AT azris comparativeanalysisofvariouscamerainputforvideogrammetry AT ujangu comparativeanalysisofvariouscamerainputforvideogrammetry AT cuetaramg comparativeanalysisofvariouscamerainputforvideogrammetry AT retortillogm comparativeanalysisofvariouscamerainputforvideogrammetry AT sallehsm comparativeanalysisofvariouscamerainputforvideogrammetry |