Recently, efficient spatial data acquisition and visualization have been receiving more attention from the view point of digital city, VR museum including digital archives. Generally, in order to perform object modeling through digital images, line or feature extraction and stereo matching are performed, and many matching methods such as area based matching, feature based matching have been proposed. In particular, line gives important information for object extraction, and satisfied 3D results depend on rigorous line extraction and matching.
With this motive, the authors have developed robust line matching which is performed by line extraction and line tracking. The line extraction was performed by Canny operator, and line matching was performed using optical flow and trifocal tensor.
In order to apply the line matching method for modeling of historical object, 3D modeling for the “Koma house” through image sequences was investigated in this paper. The Koma house was built in 17th century, and designated as national important cultural assets in 1971.