Curved computational integral imaging reconstruction technique for resolution-enhanced display of three-dimensional object images

Abstract

A novel curved computational integral imaging reconstruction (C-CIIR) technique for the virtually curved integral imaging (VCII) system is proposed, and its performances are analyzed. In the C-CIIR model, an additional virtual large-aperture lens is included to provide a multidirectional curving effect in the reconstruction process, and its effect is analyzed in detail by using the ABCD matrix. With this method, resolution-enhanced 3D object images can be computationally reconstructed from the picked-up elemental images of the VCII system. To confirm the feasibility of the proposed model, some experiments are carried out. Experiments revealed that the sampling rate in the VCII system could be kept at a maximum value within some range of the distance z, whereas in the conventional integral imaging system it linearly decreased as the distance z increased. It is also shown that resolutions of the object images reconstructed by the C-CIIR method have been significantly improved compared with those of the conventional CIIR method.

Resolution Enhanced Computational Integral Imaging Reconstruction by Using Boundary Folding Mirrors

“…To overcome the disadvantage of limited image resolution, many modified methods have been proposed [8][9][10][11][12]. A curved computational integral imaging reconstruction technique has been proposed in [11,12], which is an outstanding method to enhance the resolution of three-dimensional object images.…”

“…A curved computational integral imaging reconstruction technique has been proposed in [11,12], which is an outstanding method to enhance the resolution of three-dimensional object images. However, the utility of the virtual large-aperture lens may introduce some distortions because of the curving effect in this method.…”

Computational Integral Imaging Reconstruction of 3D Object Using a Depth Conversion Technique

“…In the VCR process, the EIA is digitally reconstructed by using a computer in order to obtain volumetric 3D images. CII has several problems to be solved such as a poor resolution of the reconstructed image [6,13], high computational cost [14], reconstruction limitation of far 3D objects [15], and so on.…”

Improved recognition of 3D objects using nonlinear correlator based on direct pixel mapping in curving-effective integral imaging

“…서 론 집적 영상 (integral imaging) 기술은 최근 유망한 차세 대 3D 디스플레이 기술 중의 하나로서 고려되고 있다 [1][2][3][4][5][6][7][8][9] . 이 [10][11][12][13][14][15][16] . 집적 [12][13][14].…”

“…이 [10][11][12][13][14][15][16] . 집적 [12][13][14]. 또한 이 시스템에서 3D 물체의 인식 성능을 향상 하기 위하여 다이렉트 픽셀 매핑 (direct pixel mapping: DPM) [ [16] .…”