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Depth estimation and segmentation from street view using digital map

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초록

In the game, the background is not only a spatial element, but also an element that increases game immersion by giving the story a probability. For this reason, some games with a background modeled on an actual city center are gaining popularity, through games, players can experience places that they cannot visit in real life. It is difficult to create a game set in the city center because it requires a lot of manpower and time to produce background. On the other hand, there are also games that provide virtual experiences to users using services such as Street View and simple rules. It will be very useful if you can create a map based on reality and increase the user's immersion by utilizing the building that is an important element in the background based on Street View. Usually in games, depth maps are used for lighting and shadow generation, or constructing terrain like height maps. We are going to apply a depth map to street view. In this study, we intend to experiment with a simple and low-cost depth estimation algorithm using a digital map. The location and metadata of the building were acquired from the digital map and the depth was estimated. We added depth information to Street View to highlight important buildings as background elements and separate buildings, ground, and sky. Street view studies based on digital maps and metadata can be used in a variety of ways, such as building 3D maps and advertising based on building planes.

Abstract

In the game, the background is not only a spatial element, but also an element that increases game immersion by giving the story a probability. For this reason, some games with a background modeled on an actual city center are gaining popularity, through games, players can experience places that they cannot visit in real life. It is difficult to create a game set in the city center because it requires a lot of manpower and time to produce background. On the other hand, there are also games that provide virtual experiences to users using services such as Street View and simple rules. It will be very useful if you can create a map based on reality and increase the user's immersion by utilizing the building that is an important element in the background based on Street View. Usually in games, depth maps are used for lighting and shadow generation, or constructing terrain like height maps. We are going to apply a depth map to street view. In this study, we intend to experiment with a simple and low-cost depth estimation algorithm using a digital map. The location and metadata of the building were acquired from the digital map and the depth was estimated. We added depth information to Street View to highlight important buildings as background elements and separate buildings, ground, and sky. Street view studies based on digital maps and metadata can be used in a variety of ways, such as building 3D maps and advertising based on building planes.

참고문헌 (10)

  1. 차명희, "게임 환경의 건축물 배경 맵 모델 연구", 한국컴퓨터게임학회논문지, 25(4), pp.205~212 (2012), (사)한국컴퓨터게임학회[DOI]
  2. "Google Maps Platform" (2018)[URL]
  3. Dragomir Anguelov, "Google Street View: Capturing the World at Street Level", Computer, 43(6), pp.32~38 (2010), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
  4. "GeoGuessr" (2013)[URL]
  5. "MapCrunch – Random Street View"[URL]
  6. Akihiko Torii, "From google street view to 3d city models", IEEE 12th International Conference on Computer Vision Workshops, pp.2188~2195 (2009), IEEE
  7. Xiaojiang Li, "Quantifying the shade provision of street trees in urban landscape: A case study in Boston, USA, using Google Street View", Landscape and Urban Planning, 169, pp.81~91 (2018)
  8. N. Bruno, "ACCURACY ASSESSMENT OF 3D MODELS GENERATED FROM GOOGLE STREET VIEW IMAGERY", International Archives of the Photogrammetry, Remote Sensing &Spatial Information Sciences (2019)
  9. Keller, Marilyn, "Game room map integration in virtual environments for free walking", 2018IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (2018), IEEE
  10. "NGII"[URL]

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