A high-efficient computer-generated integral imaging (CGII) method is presented based on the backward ray-tracing technique. In traditional CGII methods, the total rendering time is long, because a large number of cameras are established in the virtual world. The ray origin and the ray direction for every pixel in elemental image array are calculated with the backward ray-tracing technique, and the total rendering time can be noticeably reduced. The method is suitable to create high quality integral image without the pseudoscopic problem. Real time and non-real time CGII rendering images and optical reconstruction are demonstrated, and the effectiveness is verified with different types of 3D object models. Real time optical reconstruction with 90 × 90 viewpoints and the frame rate above 40 fps for the CGII 3D display are realized without the pseudoscopic problem.
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http://dx.doi.org/10.1364/OE.25.000330 | DOI Listing |
High-quality light-field generation of real scenes based on view synthesis remains a significant challenge in three-dimensional (3D) light-field displays. Recent advances in neural radiance fields have greatly enhanced light-field generation. However, challenges persist in synthesizing high-quality cylindrical viewpoints within a short time.
View Article and Find Full Text PDFIn this Letter, we propose an adjustable viewpoint allocation method with forward and backward ray tracing to enhance the viewing angle and reduce the crosstalk in super multi-view (SMV) display. The synthetic image (SI) is initially calculated by backward ray tracing according to the viewing distance and the viewpoint interval. Forward ray tracing is then performed on the result of the viewpoint allocation to correct the deviation between the actual and the ideal viewpoint positions.
View Article and Find Full Text PDFAdv Sci (Weinh)
November 2024
Air and Missile Defense College, Air Force Engineering University, Xi'an, 710051, China.
In micro-lens-array-based light-field imaging, the micro-lens centers serve as the origins of local micro-lens coordinate systems. Each micro-lens receives angular/depth information coded according to its center location. Therefore, the errors in positioning the micro-lens centers will lead to errors in depth estimation.
View Article and Find Full Text PDFWavefront coding (WFC) combines phase mask design and image restoration algorithm to extend the depth of field (DOF) for various applications. However, discrete design limits finding globally optimal solutions, increasing the complexity of system design, and affecting the accuracy and robustness of image restoration. An end-to-end imaging system design has emerged to break through these limitations by integrating optical design and image processing algorithms.
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