The main goal of the thesis is to design and implement a method for a measurement and reconstruction of visual texture for 3d objects reconstructed using photogrammetric scanning. Student designs, assembles and calibrates acquisition setup and captures dataset containing multiple views in multiple lighting conditions of the same real object. From acquired data then reconstructs a 3d mesh of captured object. Based on illumination data and reconstructed mesh, the student measures reflectance on the surface of the object and computes a reflectance model for rendering with generic views and illuminations. Method is then tested by comparing the rendered image with the real image.