Improved depth extraction method of 3D objects using computational integral imaging reconstruction based on multiple windowing techniques

• We present an improved depth extraction method of 3D objects using computational integral imaging reconstruction.
• The proposed method is based on the multiple windowing models.
• We introduce a new depth extraction algorithm using block matching among multiple set of slice images.
• The proposed method can extract the improved depth map through the reduction of unwanted depth errors.

This paper presents an improved depth extraction method of 3D objects using computational integral imaging reconstruction (CIIR) based on the multiple windowing models. The proposed method records 3D objects using the lenslet array; and it reconstructs multiple sets of slice images from multiple CIIR methods based on the different windowing models. A depth map is then extracted by a block matching algorithm among multiple set of slice images. A preliminary experiment is carried out to show the feasibility of the proposed method. Experimental results indicate the proposed method outperforms the previous method with two windowing models.