Abstract
The wood log is an important material in industry. These wood logs need to be cut for use. In wood cut production line, the wood information is necessary. Currently, laser is widely used to obtain the wood logs information for cutting. However, laser is usually very expensive. In this paper, we try to use camera to replace laser for reconstructing 3D information of wood logs and recent patents associated with it. For this purpose, we propose a vision system, which can provide the necessary information to the cutter machine. The obtained 3D information can be used to create aesthetically pleasant wooden patterns for accurately cutting the wood. Matching is the key technique for 3D reconstruction in our vision system. In this paper, we use area-based matching approach which has the result of dense disparity map and saves running time. Our vision system uses two cameras to collect original image of the wood logs. These images are preprocessed for matching with SAD (Sum of Absolute Differences) similarity operator. Several constraints are also proposed to obtain disparity map for 3D reconstruction. Finally, the experiment results indicate that the proposed approach can offer accurate 3D measurement to automatically cut the wood.
Keywords: Area-based matching, 3D reconstruction, stereo vision.
Graphical Abstract