Volume IV-2/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 431-438, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-431-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 431-438, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-431-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Sep 2017

14 Sep 2017

LOCATION DISTRIBUTION OPTIMIZATION OF PHOTOGRAPHING SITES FOR INDOOR PANORAMA MODELING

S. Zhang1, J. Wu1, Y. Zhang1, X. Zhang1, Z. Xin2, and J. Liu3,4 S. Zhang et al.
  • 1School of Remote Sensing and Information Engineering, Wuhan University, China
  • 2Computer School of Wuhan University, Wuhan, China
  • 3State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China
  • 4Collaborative Innovation Center of Geospatial Technology, Wuhan University Wuhan, China

Keywords: Indoor Panorama Modeling, Location of Panorama Site, Image Clarity, Panorama Distortion, Panorama System Evaluation

Abstract. Generally, panoramas image modeling is costly and time-consuming because of photographing continuously to capture enough photos along the routes, especially in complicated indoor environment. Thus, difficulty follows for a wider applications of panoramic image modeling for business. It is indispensable to make a feasible arrangement of panorama sites locations because the locations influence the clarity, coverage and the amount of panoramic images under the condition of certain device. This paper is aim to propose a standard procedure to generate the specific location and total amount of panorama sites in indoor panoramas modeling. Firstly, establish the functional relationship between one panorama site and its objectives. Then, apply the relationship to panorama sites network. We propose the Distance Clarity function (FC and Fe) manifesting the mathematical relationship between panoramas and objectives distance or obstacle distance. The Distance Buffer function (FB) is modified from traditional buffer method to generate the coverage of panorama site. Secondly, transverse every point in possible area to locate possible panorama site, calculate the clarity and coverage synthetically. Finally select as little points as possible to satiate clarity requirement preferentially and then the coverage requirement. In the experiments, detailed parameters of camera lens are given. Still, more experiments parameters need trying out given that relationship between clarity and distance is device dependent. In short, through the function FC, Fe and FB, locations of panorama sites can be generated automatically and accurately.