Beam Tracing Intersection Query for Bounding Volume Hierarchy
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Solution Overview
Problem
Current methods for ray-tracing in computer graphics, particularly in massively parallel architectures, face inefficiencies in intersection tests between rays and bounding volumes, leading to degraded performance due to the large number of geometric primitives and rays involved.
Innovation Solution
An apparatus and method for performing an intersection query between a query beam and a target bounding volume by calculating intersection parameter values and determining a parametric variable range, allowing for efficient determination of whether the query beam intersects the target bounding volume, utilizing a tree traversal unit and optimized logic for parallel processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional ray-tracing intersection tests are used to handle large numbers of geometric primitives and rays, then rendering accuracy is maintained, but system performance degrades due to computational inefficiency
Solution Approach 1:
The patent segments the continuous ray intersection problem into discrete slab-based interval queries. By dividing the 3D space into slabs along the beam direction and computing intersection intervals for each slab, the method transforms a complex continuous intersection test into a series of simpler discrete interval comparisons, enabling efficient parallel processing in massively parallel architectures
Solution Approach 2:
The patent performs preliminary computation of slab boundaries and beam intersection intervals before executing the main intersection test. By pre-calculating the parametric intervals where the beam intersects each slab and organizing this data in advance, the system eliminates redundant computations during runtime, significantly reducing intersection test latency in parallel processing environments
2Measurement precision
If the number of rays generated for intersection testing is increased to handle complex scenes, then rendering accuracy improves, but query efficiency decreases
Solution Approach 1:
The patent uses axis-aligned bounding boxes (AABBs) as simplified copies or proxies for complex geometric primitives. Instead of performing intersection tests against the actual complex geometry, the system first tests against these simplified bounding box representations, which can be efficiently queried using the slab method. This copying approach maintains intersection detection accuracy while dramatically improving query efficiency
Solution Approach 2:
The patent transforms the intersection test problem from geometric coordinate space to parametric space. By representing the beam using parametric equations and computing intersection intervals in terms of parametric variables rather than physical coordinates, the system enables more efficient comparison and filtering operations that maintain precision while improving computational throughput
3Productivity
If traditional intersection test methods are used in massively parallel architectures, then system utilization is maintained, but overall system performance degrades
Solution Approach 1:
The patent introduces a parametric dimension (the t parameter in parametric equations) to transform the 3D geometric intersection problem into a 4D problem that can be more efficiently solved in parallel. By computing intersection intervals along the parametric dimension for each slab, the method creates an additional computational dimension that enables more effective parallelization and reduces the complexity of individual query operations in massively parallel architectures
Data Source
AI summary
An apparatus, computer readable medium, and method are disclosed for performing an intersection query between a query beam and a target bounding volume. The target bounding volume may comprise an axis-aligned bounding box (AABB) associated with a bounding volume hierarchy (BVH) tree. An intersection query comprising beam information associated with the query beam and slab boundary information for a first dimension of a target bounding volume is received. Intersection parameter values are calculated for the first dimension based on the beam information and the slab boundary information and a slab intersection case is determined for the first dimension based on the beam information. A parametric variable range for the first dimension is assigned based on the slab intersection case and the intersection parameter values and it is determined whether the query beam intersects the target bounding volume based on at least the parametric variable range for the first dimension.