Chronic wounds are a major problem worldwide which mainly affects to the geriatric population or patients with limited mobility. In tropical countries, Cutaneous Leishmaniasis(CL)s is also a cause for chronic wounds, being endemic in Peru in the 75% of the country. Therefore, the monitoring of these wounds represents a big challenge due to the remote location of the patients. This papers aims to develop a low-cost user-friendly technique to obtain a 3D reconstruction for chronic wounds oriented to clinical monitoring and assessment. The video is taken using a commercial hand-held video camera without the need of a rig. The algorithm has been specially designed for skin wounds which have certain characteristics in texture where techniques used in regular SFM applications with undefined edges wouldn't work. In addition, the technique has been developed using open source libraries. The 3D cloud point estimated allows the computation of metrics as volume, depth, superficial area which recently have been used by CL specialists showing good results in clinical assessment. Initial results in cork phantoms and CL wounds show an average distance error of less than 1mm when compared against models obtained with a industrial 3D laser scanner.