Depth extraction of three-dimensional objects in space by the computational integral imaging reconstruction technique

Abstract

A novel approach to extract the depth data of 3D objects in space by using the computational integral imaging reconstruction (CIIR) technique is proposed. With elemental images of 3D objects captured by the CCD camera through a pinhole array, depth-dependent object images can be reconstructed on the output plane by the CIIR technique. Only the images reconstructed on the output planes where 3D objects were located are clearly focused; so the depth data of 3D objects in space can be extracted by discriminating these focused output images from the others by using an image separation technique. A feasibility test of the proposed CIIR-based depth extraction method is carried out, and its results are discussed as well.

Distance Extraction by Means of Photon-Counting Passive Sensing Combined with Integral Imaging

“…Integral imaging (II) is primarily a 3D display technique but it has been widely adopted for information processing such as obtaining depth information and object recognition [4][5][6][7][8][9][10][11]. During II recording, an elemental image array is generated, that has different views of the object.…”

“…One advantage of II is that only a single exposure is required to obtain 3D information; no calibration is needed, unlike stereo imaging, and no active illumination is needed, unlike holography or light detection and ranging (LIDAR) [12,13]. A depth extraction technique using elemental images has been studied in [8][9][10][11]. Depth is extracted by means of one-dimensional elemental image modification and a correlation-based multi-baseline stereo algorithm [10].…”

Reference Functions for Synthesis and Analysis of Multiview and Integral Images

“…Similarly to the patterns of certain three-dimensional objects, the reference functions can be treated as the patterns of the most basic objects, the points lying at the predefined distances. Together with the known methods, e.g., [21,22], the reference functions can be applied to extract the distance to three-dimensional objects or their parts basing on the integral image. This can be made, for instance, by convolution of the integral image with the reference functions.…”

Computational Integral Imaging Reconstruction of a Partially Occluded Three-Dimensional Object Using an Image Inpainting Technique

“…Computational integral imaging (CII) is able to capture and reconstruct partially occluded 3D objects for 3D visualization and recognition [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. CII consists of the pickup process and the subsequent computational integral imaging reconstruction (CIIR) process.…”