3d Sole Pattern Reconstruction And Matching

With the change of means of crime, footprint detecting technology has been found more and more applications in investigating and solve the criminal cases, and it has been more concerned by justice and public security departments. As an information carrier, of high redundancy, footprint images can contain plenty of information. Therefore, shoeprint images can indicate trace of crime quite well in crime scene. However, the pictures taken in crime scene are often incomplete and, as a result, are quite difficult to recognize. Therefore, how to take full advantage of shoeprint images is an urgent issue nowadays. Moreover, with enhance of criminals' anti- detection capability, the state-of-the-art 2D graphic processing technology has shown its increasing limitations. Consequently,3D graphic processing attracts more intention of researchers.This dissertation presents a precise shoeprint detection system for footprints taken from the crime scene. The principle of the system is that, firstly, the footprint data is extracted the footprint pictures taken from in crime scene by laser scanner, the collected data is stored the form of 3D point cloud. Then the OpenGL software is used to visualize the point cloud of footprint in the platform of MFC. Next, in order to get the model and some relevant information of the footprint, it is necessary to do the deta reduction and reconstruction by using the marked bounding box method. Afterwards, the ICP algorithm is used to compare and match the footprint data collected from crime scene and the footprint data in database, in order to get the information such as the size and the manufacturer of the shoes. In conclusion, this system is much helpful for police.