High‐Performance Elliptical Cone Tracing

Abstract In this work, we discuss elliptical cone traversal in scenes that employ typical triangular meshes. We derive accurate and numerically‐stable intersection tests for an elliptical conic frustum with an AABB, plane, edge and a triangle, and analyze the performance of elliptical cone tracing when using different acceleration data structures: SAH‐based K‐d trees, BVHs as well as a modern 8‐wide BVH variant adapted for cone tracing, and compare with ray tracing. In addition, several cone traversal algorithms are analyzed, and we develop novel heuristics and optimizations that give better performance than previous traversal approaches. The results highlight the difference in performance characteristics between rays and cones, and serve to guide the design of acceleration data structures for applications that employ cone tracing.

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Publication Details

Journal
Computer Graphics Forum
Published
2025-10-01
DOI
https://doi.org/10.1111/cgf.70230
Primary Topic
Image and Object Detection Techniques
Type
article
Field-Weighted Citation Impact
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article

High‐Performance Elliptical Cone Tracing

Shlomi Steinberg, U. Emre, A. Kanak
Computer Graphics Forum
Image and Object Detection Techniques
article

High‐Performance Elliptical Cone Tracing

Shlomi Steinberg, U. Emre, A. Kanak
article en

Abstract

Abstract In this work, we discuss elliptical cone traversal in scenes that employ typical triangular meshes. We derive accurate and numerically‐stable intersection tests for an elliptical conic frustum with an AABB, plane, edge and a triangle, and analyze the performance of elliptical cone tracing when using different acceleration data structures: SAH‐based K‐d trees, BVHs as well as a modern 8‐wide BVH variant adapted for cone tracing, and compare with ray tracing. In addition, several cone traversal algorithms are analyzed, and we develop novel heuristics and optimizations that give better performance than previous traversal approaches. The results highlight the difference in performance characteristics between rays and cones, and serve to guide the design of acceleration data structures for applications that employ cone tracing.

Computer Graphics ForumVol. 44(7)
University of Waterloo (CA)
Openalex Percentile: Top 73%
Image and Object Detection Techniques
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