… system for capturing dense light fields with a hand-held … the light field. We guide the user
with a viewpoint coverage map to help them achieve dense coverage. To render our light fields …

… sparse light field representation (Section 3) that differs from those previous approaches, fully
reproduces the input light field … for handling 4D light fields and unstructured input. The input …

… [158], [159] proposed a segmentation approach that uses unstructured 3D light fields
captured by a hand-held video camera (see Fig. 16(a)). They computed the gradients in the …

… approach obtained the unstructured mesh by AFA. The boundary of the flow field is divided
… form the unstructured elements, rather than constructing triangle based on proximal points. …

… 4 Unstructured Light Patterns This section presents our unstructured light method, featuring
band-pass white noise patterns that are designed to be robust to indirect illumination by …

… light field and VDTM algorithms are in many ways quite different in their assumptions and
input. Light field … Light field rendering can be similarly interpreted. For each desired ray (s, t, u, v…

… are better suited for representing panoramic light field content. We further … lightweight and
can be rendered on mobile VR/AR platforms or in a web browser. We demonstrate light field …

… pixel in the input light field. Our solution is to construct a pop-up light field by segmenting
the input–sparse light field into multiple coherent layers. Pop-up light field differs from other …

… the dense reconstruction of signals, such as 4D light fields, from a small set of samples. The
… of recovering non-Lambertian light fields from a small number of 1D viewpoint trajectories. …

… Rendering a novel view from a densely sampled light field … method exists with sparse light
fields. From sparse images, … method for rendering a sparse light field. Our neural rendering …