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.