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Related Concept Videos

Quadric Surfaces01:28

Quadric Surfaces

Quadric surfaces are three-dimensional surfaces characterized by second-degree equations in the variables x, y, and z. These surfaces are smooth and continuous, and specific combinations of squared and linear terms define their shapes. The main types of quadric surfaces include ellipsoids, cones, paraboloids, and hyperboloids. Each type exhibits distinct geometric features depending on how the variables are arranged and related within the equation.Ellipsoids are closed surfaces formed when all...

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Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy
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Improved Quadtree-Based Selection of Single Images for 3D Generation.

Wanyun Li1, Yue Liu1, Yuqiang Fang1

  • 1Graduate School, Space Engineering University, Beijing 101416, China.

Sensors (Basel, Switzerland)
|November 13, 2025
PubMed
Summary

This study introduces a new quadtree-based image selection framework to optimize 3D reconstruction from single images. The method enhances 3D model quality and geometric consistency by selecting the most informative images.

Keywords:
3D generation modelimage selectionquadtree structuresingle-view reconstruction

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Area of Science:

  • Computer Vision
  • Computer Graphics
  • 3D Reconstruction

Background:

  • Generative models for 3D content are rapidly advancing.
  • Single-view 3D reconstruction offers a practical approach but requires optimal image selection.
  • Automating image selection is crucial for improving reconstruction quality and efficiency.

Purpose of the Study:

  • To propose a novel image selection framework for single-view 3D reconstruction.
  • To enhance the quality and efficiency of 3D model generation from large image datasets.
  • To identify the most informative images for optimal reconstruction outcomes.

Main Methods:

  • Developed a multi-feature fusion quadtree structure for image selection.
  • Integrated diverse visual and semantic features for comprehensive image evaluation.
  • Utilized a hierarchical quadtree to efficiently assess image content and relevance.

Main Results:

  • The proposed method significantly reduced reconstruction errors by an average of 29.5%.
  • Achieved improved Accuracy (4.238), Completeness (5.166), and Overall scores (4.702) compared to baselines.
  • Demonstrated enhanced geometric consistency and visual plausibility in generated 3D models using Tencent's Hunyuan 3D model.

Conclusions:

  • The multi-feature fusion quadtree framework effectively selects optimal images for single-view 3D reconstruction.
  • The approach leads to substantial improvements in 3D model quality and reconstruction accuracy.
  • This method represents a significant advancement in automated 3D content generation.