Three-dimensional free view reconstruction in axially distributed image sensing

Abstract

In this Letter, we propose a three-dimensional (3D) free view reconstruction technique in axially distributed image sensing (ADS). In typical integral imaging, free view reconstructed images can be obtained by tilting all elemental images or tilting the reconstruction plane due to large lateral perspectives for 3D objects. In conventional ADS, the reconstructed images at only a front view can be generated since the sensor is moved along with its optical axis so that it has small lateral perspectives for 3D objects. However, the reconstructed 3D images at any viewing point may be obtained because the virtual viewing camera may capture these slightly different perspectives for 3D objects. Therefore, in this Letter, we employ the virtual viewing camera to visualize the 3D images at the arbitrary viewing point. To support our proposed method, we show the experimental results.

Combined 3D scanning measurement method based on guidance of full-space laser positioning system

“…Its high accuracy, efficiency, noncontact, and nondestructive measurement, among other notable features have made it indispensable in digital reverse engineering, virtual reality, biomedicine, cultural relic preservation, mechanical part inspection, and intelligent manufacturing. [1][2][3][4] Nevertheless, defect detection in ultralarge equipment is challenging due to its vast size and intricate design. Rapid detection and measurement become complex, especially when acquiring point clouds inspection sites with a complicated field environment and field of view constraints.…”

“…In the realm of intelligent manufacturing and inspection, 3D reconstruction technology stands as a novel measurement method, capturing the 3D point cloud of structural components through vision or laser scanning. Its high accuracy, efficiency, noncontact, and nondestructive measurement, among other notable features have made it indispensable in digital reverse engineering, virtual reality, biomedicine, cultural relic preservation, mechanical part inspection, and intelligent manufacturing 1 – 4 Nevertheless, defect detection in ultralarge equipment is challenging due to its vast size and intricate design.…”

Propagation-based incremental triangulation for multiple views 3D reconstruction

“…There has been an escalation in the amount of work dealing with three-dimensional (3D) reconstruction [1][2][3] , pose estimation [4][5][6] , structure-from-motion (SfM) [7,8] , and simultaneous localization and mapping (SLAM) [9,10] , such as applications in robotics, augmented/virtual reality, and self-driving. A fundamental component of these works is triangulation, which refers to recovering the 3D location from multiple two-dimensional (2D) image observations with known pose and camera parameters.…”

Three-dimensional image authentication using binarized images in double random phase integral imaging

“…Most of the previous image authentication methods are based on two-dimensional (2D) image data, while threedimensional (3D) information has been found useful in many fields. Integral imaging (InI) has received significant attentions and been applied in depth acquisition, nakedeye displays, near-eye displays, tracking, and recognition since it was proposed by Lippmann [25][26][27][28] . This promising imaging technique can also be used in image authentication, which can provide 3D information [29,30] .…”