生態農業：農業地景生態監測及復育【土木工程學系楊明德教授】

論文篇名 英文：Fusion of infrared thermal image and visible image for 3D thermal model reconstruction using smartphone sensors
中文：融合智慧手機之可見光影像和熱影像應用於3D熱模型重建
期刊名稱 sensors
發表年份,卷數,起迄頁數 2018, 18(7),
作者 Yang, M. D.(楊明德), Su, T. C.*, Lin, H. Y.
DOI 10.3390/s18072003
中文摘要 熱紅外影像提供了目標物體的溫度資訊，可廣泛應用於無損檢測。但是，熱紅外影像並不能全然用於檢查詳細紋理與對幾何實體的了解。雖然市面上已經開發了一些商業軟件可處理3D熱模型，但需要使用昂貴的特定熱紅外線感測器。本研究提出了一種基於Image-Based Modeling三維熱模型重建的有效且經濟方法，使用兩個智慧手機和低成本熱紅外攝像機，分別獲取可見光影像和熱影像以融合技術用於3D熱模型重建。實驗結果表明，該方法能夠有效重建一個非常近似其相應實體的3D熱模型。3D熱模型重建的計算時間密較長，主要是在產生密集點雲的計算。未來的研究將提高點雲運算效率的方法，以便將其潛在的應用擴展到即時監測。
英文摘要 Thermal infrared imagery provides temperature information on target objects, and has been widely applied in non-destructive testing. However, thermal infrared imagery is not always able to display detailed textures of inspected objects, which hampers the understanding of geometric entities consisting of temperature information. Although some commercial software has been developed for 3D thermal model displays, the software requires the use of expensive specific thermal infrared sensors. This study proposes a cost-effective method for 3D thermal model reconstruction based on image-based modeling. Two smart phones and a low-cost thermal infrared camera are employed to acquire visible images and thermal images, respectively, that are fused for 3D thermal model reconstruction. The experiment results demonstrate that the proposed method is able to effectively reconstruct a 3D thermal model which extremely approximates its corresponding entity. The total computational time for the 3D thermal model reconstruction is intensive while generating dense points required for the creation of a geometric entity. Future work will improve the efficiency of the proposed method in order to expand its potential applications to in-time monitoring.