Integration of Technologies of Remote Sensing and Image-based Lighting: A Practical Solution to Record High Dynamic-Range Real-world Illumination using an Unmanned Aerial Vehicle

• Main Authors: Han-Wei Jang, 張翰崴
• Other Authors: 戴楠青
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/8y2q8k

碩士 === 國立臺北科技大學 === 互動媒體設計研究所 === 105 === Image-based lighting is a digital technique that captures an omnidirectional representation of real-world light information as an image. When it is a High Dynamic Range image, it can provide real-world illumination in a virtual scene and generate light probe images. However, this method is limited to the setting of a flat landscape with an unobstructed view. Therefore, this paper presents an innovative image-capturing system, which was simulated in a dense urban environment and implemented using a lightweight smart phone camera equipped with a fish-eye lens on a customized unmanned aerial vehicle. These captured images were then assembled into a high dynamic range light probe image and used as the image-based lighting source for daylighting simulations. Thus, the aim of this study is to prove that these generated light probe images can provide reasonable accuracy in daylight simulations, while the use of the modified unmanned aerial vehicle can overcome previous limitations whereby stationary equipment were needed to capture said images.