A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles

In this paper, we introduce a geometric approach-based particle-grid hybrid framework for efficiently modeling and rendering realistic, opaque ice shapes containing air bubbles. To achieve this, we diffuse water temperature using a grid-based method and represent air bubbles within the ice shape using particles. To address the issues of noise and distorted dissolved air fields in previous methods, we propose the following improvements: 1) We synthesize the level-set of the ice shape into a spherical form to reduce noise and streamline the algorithm. 2) We propose an efficient method to control the termination condition of heat diffusion by utilizing the number of active particles and the initial dissolved oxygen level. 3) Unlike previous methods that calculated the dissolved air field only near air bubbles, we extend the diffusion to transparent regions, enabling the realistic representation of opaque ice shapes. 4) To accurately compute the directional properties of air bubbles, we introduce a level-set-based approach. 5) We extend the solver to control the generation of dissolved air fields and air bubbles based on water temperature. 6) Finally, we present a method to realistically visualize opaque ice shapes using Unreal Engine (UE). As a result, the proposed method achieves approximately three times faster computation speed compared to previous techniques while providing visually enhanced opaque ice shapes in real-time. This advancement makes it applicable to physics-based virtual ice shape simulations.

Authors

Institutions

Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3575809
Citations
1
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
3.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles

Jong‐Hyun Kim
1 citations
IEEE Access
Computer Graphics and Visualization Techniques
3.54
article

A Geometric Approach to Efficient Modeling and Rendering of Opaque Ice With Directional Air Bubbles

Jong‐Hyun Kim
article en
1 citations

Abstract

In this paper, we introduce a geometric approach-based particle-grid hybrid framework for efficiently modeling and rendering realistic, opaque ice shapes containing air bubbles. To achieve this, we diffuse water temperature using a grid-based method and represent air bubbles within the ice shape using particles. To address the issues of noise and distorted dissolved air fields in previous methods, we propose the following improvements: 1) We synthesize the level-set of the ice shape into a spherical form to reduce noise and streamline the algorithm. 2) We propose an efficient method to control the termination condition of heat diffusion by utilizing the number of active particles and the initial dissolved oxygen level. 3) Unlike previous methods that calculated the dissolved air field only near air bubbles, we extend the diffusion to transparent regions, enabling the realistic representation of opaque ice shapes. 4) To accurately compute the directional properties of air bubbles, we introduce a level-set-based approach. 5) We extend the solver to control the generation of dissolved air fields and air bubbles based on water temperature. 6) Finally, we present a method to realistically visualize opaque ice shapes using Unreal Engine (UE). As a result, the proposed method achieves approximately three times faster computation speed compared to previous techniques while providing visually enhanced opaque ice shapes in real-time. This advancement makes it applicable to physics-based virtual ice shape simulations.

IEEE AccessVol. 13
Inha University (KR)
Inha University, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 9%
Computer Graphics and Visualization Techniques
3.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.