David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Prioritized-Layered Projection (PLP) is a technique for fast rendering of high depth complexity scenes. It works by estimating the visible polygons of a scene from a given viewpoint incrementally one primitive at a time. It is not a conservative technique instead PLP is suitable for the computation of partially correct images for use as part of time-critical rendering systems. From a very high level PLP amounts to a modification of a simple view-frustum culling algorithm however it requires the computation of a special occupancy-based tessellation and the assignment to each cell of the tessellation a solidityva\ue which is used to compute a special ordering on how primitives get projected. In this paper we detail the PLP algorithm its main components and implementation. We also provide experimental evidence of its performance including results on two types of spatial tessellation (using octree- and Delaunay-based tessellations) and several datasets. We also discuss several extensions of our technique. © 2000 IEEE.
David W. Jacobs, Daphna Weinshall, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
Harman Singh, Poorva Garg, et al.
NeurIPS 2022
Tianwen Qian, Jingjing Chen, et al.
IEEE TMM