3D Mesh Reconstruction Using Iteration-Wise Distortion Feedback

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Solution Overview

Problem

Existing 3D mesh reconstruction methods face challenges in efficiently managing vertex count and distortion between original and reconstructed meshes, leading to resource wastage and suboptimal rendering due to inconsistent quality and unnecessary iterations.

Innovation Solution

Utilize distortion information and the number of vertices from the original mesh to guide each reconstruction iteration, allowing decoders to optimize mesh simplification and eliminate duplicate base meshes, thereby improving compression efficiency and rendering suitability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If mesh reconstruction uses fixed iteration counts without distortion guidance, then processing is simpler, but rendering quality is suboptimal and resources are wasted

Engineering Contradiction:

Improvemesh reconstruction qualityVSAvoidreconstruction process complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent implements feedback by calculating distortion information after each subdivision iteration and using this feedback to guide subsequent iterations. The distortion metric quantifies the difference between the current reconstructed mesh and the original mesh, allowing the system to adjust the number of vertices to simplify based on actual reconstruction quality rather than fixed predetermined counts.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent changes the parameter of vertex count dynamically based on distortion information. Instead of using a fixed number of vertices or fixed iteration count, the system adjusts the number of vertices in each subdivision iteration based on the calculated distortion, allowing optimization between mesh quality and computational resources.

Inventive Principle:

Principle #35Parameter changes

2Manufacturing precision

If the system processes all submeshes with full detail, then rendering quality is maximized, but compression efficiency decreases due to unnecessary iterations

Engineering Contradiction:

Improvemesh rendering qualityVSAvoidcompression efficiency

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The patent applies local quality by processing different submeshes with different levels of detail based on their specific distortion characteristics. Each submesh is evaluated individually, and the number of vertices is simplified according to its specific distortion information, allowing high-quality reconstruction where needed while reducing complexity where the original mesh is already sufficient.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent applies partial action by performing subdivision iterations only to the extent necessary to achieve acceptable reconstruction quality. The distortion information guides the system to stop subdividing when further iterations would not significantly improve quality, avoiding excessive computational action on submeshes that are already adequately represented.

Inventive Principle:

Principle #16Partial or excessive action

3Productivity

If distortion information is calculated at each iteration, then vertex simplification is optimized, but computational overhead increases

Engineering Contradiction:

Improvevertex simplification efficiencyVSAvoidcomputational energy consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The distortion information calculated at each iteration serves as feedback to guide the vertex simplification process. This feedback mechanism allows the system to make informed decisions about how many vertices to keep, optimizing the balance between reconstruction quality and computational energy consumption by avoiding unnecessary iterations.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12561845B2Distortion information for each iteration of vertices reconstruction

Publication Date: 2026.02.24 SAMSUNG ELECTRONICS CO LTD

AI summary

An apparatus includes a communication interface configured to receive a compressed bitstream including a base mesh sub-bitstream and a processor operably coupled to the communication interface. The processor is configured to decode a plurality of submeshes from the base mesh sub-bitstream. The processor is also configured to subdivide a submesh of the plurality of submeshes according to a subdivision iteration count to generate at least one subdivided submesh, including determine a number of vertex positions for the at least one subdivided submesh by use of a number of vertices associated with an original submesh and by use of distortion information between the original submesh and a base mesh at each subdivision iteration associated with the subdivision iteration count. The processor is also configured to reconstruct at least a portion of a mesh-frame using the vertex positions corresponding to the at least one subdivided submesh.