Abstract: Due to the structured nature of indoor scenes, such as the perpendicularity, parallelism, collinearity, coplanarity, etc., accustomed by human being in their daily life, usually a small reconstruction error of indoor scene could bring up dramatic visual effects. As a result few practical image based large indoor reconstruction systems are reported in the literature to our knowledge. In this work, we report an automatic image-based crime-scene reconstruction system, which includes such units as image capturing platform calibration, image point and line matching and reconstruction as well as the fusion of partial results under multiple views. The main characteristics of our system are: fully automatic, no human interaction is needed; both structural and depth information is used in line matching and reconstruction to substantially increase the reconstruction quality; in the bundle adjustment, both lines and points are optimized simultaneously. Extensive experiments on real scene have validated our system.