3D Reconstruction of the Surface Using a Standard Camera

Abstract

This paper deals with 3D reconstructions of series of partially focussed images. Some of these methods are known in case of images which were acquired in small field of view (by confocal microscope or CCD camera, e.g.). In this case, recorded images do not differ in any geometrical transformation from each other. In case of larger samples (oversized for microscope or CCD camera), it is necessary to use wider viewing field (standard cameras, e.g.), and taken images primarily differ in scaling but may also differ in shifting and rotation too. These images cannot be used for reconstruction directly; they must be registered; that is, we must determine all transformations which the images differ and eliminate their effects. There are several ways to do this. This paper deals with the registration based on phase correlation. After this registration, it is necessary to identify the sharp parts and to compose a 2D and 3D model. Present methods are very sensitive to noise and their results are not satisfactory in many cases. We introduce a new method for 3D reconstruction which is significantly better.

Application of confocal laser scanning microscopy to the study of amber bioinclusions

“…Besides, the z-stack obtained from a confocal microscope can be easily used to generate a 3D surface reconstruction (e.g., Kirejtshuk et al, 2015). Although it is not impossible to generate a reconstruction from z-stacks obtained by a wide-field microscope, the image processing is much more complicated (Martišek, 2017).…”

The Analysis of Rock Surface Asperities

“…See [21] for more information about SfF method. The other possible reconstruction methods are presented e. g. in [24,25,28].…”

Mathematical Principles of Object 3D Reconstruction by Shape-from-Focus Methods

“…In the case of the standard Fourier transform, the FFT algorithm is used. Since it requires a square with a side of s = 2 n , s = 8 or s = 16 is used in this case [25,26]. However, because the standard Fourier transform is burdened with jumps along the square edges, it is necessary to use a suitable window function like in Section 3.2.…”