3D depth information extraction with omni-directional camera

This paper presents a novel 3D depth information extraction method without calibration. Firstly, this paper develops an omni-directional 3D camera system, which consists of a CCD camera, hyperbolic mirror, infrared laser diodes and diffractive of element (DOE). Secondly, a depth measurement model is proposed to obtain the 3D depth information. Finally, in order to calculate the speckle shift accurately between the reference image and the object image, a dot matrix pattern and sequence coding algorithm are designed to find the corresponding speckles in the two images. Experimental results show that the reconstructed depth data have a good correlation with the actual distance. The accuracy of the data is also found to be influenced by the distance between the object and the camera. •A novel omni-directional 3D camera framework is proposed.•The omni-directional camera and infrared dot matrix structured light can be merged.•The model can reveal the relation between the object depth and its pixel offset.•We can obtain the pixel offset with the sequence coding algorithm.