Computers & Graphics-Uk最新文献

Single-image reflectance and transmittance estimation from any flatbed scanner

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-03-01 DOI: 10.1016/j.cag.2025.104186

Carlos Rodriguez-Pardo , David Pascual-Hernandez , Javier Rodriguez-Vazquez , Jorge Lopez-Moreno , Elena Garces

引用次数: 0

Real-time discrete visibility fields for ray-traced dynamic scenes

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-03-01 DOI: 10.1016/j.cag.2025.104187

Beril Günay, Ahmet Oğuz Akyüz

{"title":"Real-time discrete visibility fields for ray-traced dynamic scenes","authors":"Beril Günay, Ahmet Oğuz Akyüz","doi":"10.1016/j.cag.2025.104187","DOIUrl":"10.1016/j.cag.2025.104187","url":null,"abstract":"<div><div>Environment lighting plays a crucial role in enhancing the realism of rendered images. As environment light sources are distributed over a sphere or hemisphere, the rendering process involves tracing multiple rays per pixel. This process is computationally expensive and therefore achieving real-time results is challenging. Many studies focus on visibility functions to reduce the number of traced rays, often achieved through precomputation methods. This study improves upon a recent CPU-based visibility precomputation method designed for rendering solely static scenes, enabling its use for dynamic scenes. Our key contribution is the parallelization of this algorithm across multiple compute shader invocations which well integrates into the modern real-time rendering pipeline. By analyzing the performance-quality impact of various parameters, we aim to discover the best configuration for a given scene. With our technique the entire preprocessing stage can be executed for a scene with more than <span><math><mrow><mn>200</mn><mi>K</mi></mrow></math></span> triangles in <span><math><mrow><mn>4</mn><mspace></mspace><mi>ms</mi></mrow></math></span>, allowing for more than a 50 FPS performance including precomputation and rendering.</div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"128 ","pages":"Article 104187"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An active surface reconstruction method based on growing neural gas

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-28 DOI: 10.1016/j.cag.2025.104184

Qingqing Wang, Renzhong Feng

引用次数: 0

Evaluating user perception toward physics-adapted avatar in remote heterogeneous spaces

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-28 DOI: 10.1016/j.cag.2025.104185

Taehei Kim, Hyeshim Kim, Jeongmi Lee, Sung-Hee Lee

{"title":"Evaluating user perception toward physics-adapted avatar in remote heterogeneous spaces","authors":"Taehei Kim, Hyeshim Kim, Jeongmi Lee, Sung-Hee Lee","doi":"10.1016/j.cag.2025.104185","DOIUrl":"10.1016/j.cag.2025.104185","url":null,"abstract":"<div><div>In avatar-mediated telepresence, it is essential to reflect the user’s movements to the avatar for effective interaction. In the case of heterogeneous telepresence environments where two spaces differ in size and furniture layouts, researchers have proposed methods to adjust the avatar movement to deviate from the user’s while preserving the intention to adapt to the physical environment. This study aims to investigate users’ perception and preference toward their physics-adapted avatars in remote spaces. To this end, we conducted two user studies. In the first study, we examined how users perceive their avatars when their pose category is changed to avoid physics conflict. In the second study, we investigated users’ perception when the avatar’s eye level is modified to avoid physics conflict. The first study showed that the avatar’s pose category modification led to a decrease in ownership and control over their avatar, decreased intention preservation and trust toward the system, and less preference. Physics conflict also negatively affected users’ perceptions. Users’ preferences for adapting their avatar’s pose category to match the physics versus preserving the pose category, despite the physics conflict, were similar. The second study indicated that users recognized the hierarchy that occurred due to the eye level change, and preferred preserving their eye level. Based on these results, we offer suggestions for avatar adaptation in heterogeneous space telepresence systems.</div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"128 ","pages":"Article 104185"},"PeriodicalIF":2.5,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143535180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-scale wavelet feature fusion network for low-light image enhancement

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-21 DOI: 10.1016/j.cag.2025.104182

Ran Wei , Xinjie Wei , Shucheng Xia , Kan Chang , Mingyang Ling , Jingxiang Nong , Li Xu

{"title":"Multi-scale wavelet feature fusion network for low-light image enhancement","authors":"Ran Wei , Xinjie Wei , Shucheng Xia , Kan Chang , Mingyang Ling , Jingxiang Nong , Li Xu","doi":"10.1016/j.cag.2025.104182","DOIUrl":"10.1016/j.cag.2025.104182","url":null,"abstract":"<div><div>Low-light image enhancement (LLIE) aims to enhance the visibility and quality of low-light images. However, existing methods often struggle to effectively balance global and local image content, resulting in suboptimal results. To address this challenge, we propose a novel multi-scale wavelet feature fusion network (MWFFnet) for low-light image enhancement. Our approach utilizes a U-shaped architecture where traditional downsampling and upsampling operations are replaced by discrete wavelet transform (DWT) and inverse DWT (IDWT), respectively. This strategy helps to reduce the difficulty of learning the complex mapping from low-light images to well-exposed ones. Furthermore, we incorporate a dual transposed attention (DTA) module for each feature scale. DTA effectively captures long-range dependencies between image contents, thus enhancing the network’s ability to understand intricate image structures. To further improve the enhancement quality, we develop a cross-layer attentional feature fusion (CAFF) module that effectively integrates features from both the encoder and decoder. This mechanism enables the network to leverage contextual information across various levels of representation, resulting in a more comprehensive understanding of the images. Extensive experiments demonstrate that with a reasonable model size, the proposed MWFFnet outperforms several state-of-the-art methods. Our code will be available online.<span><span><sup>2</sup></span></span></div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"127 ","pages":"Article 104182"},"PeriodicalIF":2.5,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143473939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Visual comfort and depth perception measurement for stereoscopic image retargeting quality assessment

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-20 DOI: 10.1016/j.cag.2025.104179

Zhenhua Tang, Yin Zhang, Xuejun Zhang

{"title":"Visual comfort and depth perception measurement for stereoscopic image retargeting quality assessment","authors":"Zhenhua Tang, Yin Zhang, Xuejun Zhang","doi":"10.1016/j.cag.2025.104179","DOIUrl":"10.1016/j.cag.2025.104179","url":null,"abstract":"<div><div>Most stereoscopic image retargeting quality assessment (SIRQA) algorithms ignore the binocular difference between the left and right views on visually important content and the relative depth difference between the original and resized images, lowering the performance of the SIRQA algorithms. To address these issues, we propose a metric to measure the visual comfort of stereoscopic retargeted images, which assesses the binocular inconsistency caused by the difference between the left and right views in terms of the matched pixel pairs and information loss in salient regions. We also present a metric to evaluate the depth perception distortion of stereoscopic retargeted images, which calculates the relative depth between the background and the foreground objects in the original and the retargeted image respectively, and measures the relative depth difference between the original and the resized photos. Furthermore, we adopt the two proposed metrics to a SIRQA framework based on image classification to perform the quality evaluation of the stereoscopic resized images with other metrics. Experimental results demonstrate that the performance of the proposed SIRQA method outperforms the state-of-the-art algorithms. Moreover, ablation studies indicate that the proposed metrics can effectively improve the consistency between subjective and objective evaluations.</div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"127 ","pages":"Article 104179"},"PeriodicalIF":2.5,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bi-Scale density-plot enhancement based on variance-aware filter

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-17 DOI: 10.1016/j.cag.2025.104180

Huaiwei Bao , Xin Chen , Kecheng Lu , Chi-Wing Fu , Jean-Daniel Fekete , Yunhai Wang

{"title":"Bi-Scale density-plot enhancement based on variance-aware filter","authors":"Huaiwei Bao , Xin Chen , Kecheng Lu , Chi-Wing Fu , Jean-Daniel Fekete , Yunhai Wang","doi":"10.1016/j.cag.2025.104180","DOIUrl":"10.1016/j.cag.2025.104180","url":null,"abstract":"<div><div>We present Bi-Scale density Plot (BSP), a new technique to enhance density plots by efficiently optimizing the local density variance in high- and mid-density regions while providing more details in low-density regions. When visualizing large and dense discrete point samples, scatterplots and thematic maps are often employed and we need density plots to further provide aggregated views. However, in the density plots, local patterns such as outliers can be filtered out and meaningful structures such as local density variations can be broken down. The key innovations in BSP include (i) the unified bin–summarize–decompose–combine framework for interactively bi-scale enhancing density plots through combining large- and small-scale density variations; and (ii) the variance-aware filter, which is reformulated based on the edge-preserving image filter, for maintaining the relative data density while reducing the excessive variability in the density plot. Further, BSP can be adopted with a 2D colormap, allowing simultaneous exploration of the enhanced structures and recovering the absolute aggregated densities to improve comparison and lookup tasks. We empirically evaluate our techniques in a controlled study and present two case studies to demonstrate their effectiveness in exploring large data.</div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"127 ","pages":"Article 104180"},"PeriodicalIF":2.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143446128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

3D medical model registration using scale-invariant coherent point drift algorithm for AR

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-17 DOI: 10.1016/j.cag.2025.104178

Xiaoxing Zhang , Ruifeng Guo , Zhiyong Tong , Hongliang Wang

{"title":"3D medical model registration using scale-invariant coherent point drift algorithm for AR","authors":"Xiaoxing Zhang , Ruifeng Guo , Zhiyong Tong , Hongliang Wang","doi":"10.1016/j.cag.2025.104178","DOIUrl":"10.1016/j.cag.2025.104178","url":null,"abstract":"<div><div>Registering preoperative 3D medical models to the corresponding regions of the individual in a reality scene is a critical foundation for augmented reality-based (AR-based) surgical navigation systems. A challenge is finding an appropriate spatial mapping function from the medical coordinate system to the AR coordinate system. Our work focuses on registering 3D medical models to the intracranial structures using RGBD point clouds. The mapping function is calculated using local facial features and a scale-invariant coherent point drift (SI-CPD) algorithm that eliminates the scaling parameter. The local facial features significantly reduce mismatched features between the 3D medical models and the RGBD point clouds of the scene, while the proposed SI-CPD algorithm restricts the registration process to translation and rotation operations only. Results demonstrate that our method achieves a target registration error (TRE) of 1.2498 ± 0.0829 mm on private medical datasets and superior registration accuracy on the public Stanford Bunny dataset. Compared to ICP-type methods, the SI-CPD algorithm demonstrates enhanced robustness in handling noise and outliers. Our work introduces a novel methodology to automatically register 3D medical models to the head with high accuracy.</div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"127 ","pages":"Article 104178"},"PeriodicalIF":2.5,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GEAST-RF: Geometry Enhanced 3D Arbitrary Style Transfer Via Neural Radiance Fields

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-16 DOI: 10.1016/j.cag.2025.104181

Dong He , Wenhua Qian , Jinde Cao

{"title":"GEAST-RF: Geometry Enhanced 3D Arbitrary Style Transfer Via Neural Radiance Fields","authors":"Dong He , Wenhua Qian , Jinde Cao","doi":"10.1016/j.cag.2025.104181","DOIUrl":"10.1016/j.cag.2025.104181","url":null,"abstract":"<div><div>Style transfer techniques integrated with neural radiance fields enhance the stylization effect of the 3D scene. The objective of 3D style transfer is to render novel views of stylized 3D scenes while maintaining multi-view consistency. However, the current state of 3D style transfer confronts three principal challenges: precise geometric reconstruction, style bias issues, and the artifacts and floaters that frequently emerge during the stylization process. To address these issues, we propose GEAST-RF (Geometry Enhanced 3D Arbitrary Style Transfer Via Neural Radiance Fields), which employs explicit high-level feature grids to represent 3D scenes, achieving detailed geometry reconstruction through volume rendering and high-quality 3D arbitrary style transfer based on target style image information. Specifically, GEAST-RF introduces two pivotal innovations to enhance 3D stylization. The first is the geometry enhancements module, which aligns the geometric structures of stylized views from the same viewpoint to those in the content views, enabling high-precision geometry reconstruction. Thresholding and masking operations are introduced during alignment to alleviate artifacts such as floaters produced during rendering. The second is the adaptive stylization module, which utilizes adaptive computation during the stylization stage to make the model focus more on core style information, reducing reliance on edge style information. Our experiments demonstrate that GEAST-RF can achieve precise geometric structures while providing exceptional 3D stylization effects. A user survey further corroborates these experimental results, revealing that the majority of participants prefer our generated outputs compared to the most recent state-of-the-art methods.</div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"127 ","pages":"Article 104181"},"PeriodicalIF":2.5,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computing skeleton-based handle/tunnel loops

IF 2.5 4区计算机科学

Computers & Graphics-Uk Pub Date : 2025-02-12 DOI: 10.1016/j.cag.2025.104177

Hayam Abdelrahman, Yiying Tong

{"title":"Computing skeleton-based handle/tunnel loops","authors":"Hayam Abdelrahman, Yiying Tong","doi":"10.1016/j.cag.2025.104177","DOIUrl":"10.1016/j.cag.2025.104177","url":null,"abstract":"<div><div>Finding surface loops around narrow sections of a surface is widely used as a prepossessing step in various applications such as segmentation, shape analysis, path planning, and robotics. A common approach to locating such loops is based on surface topology. However, such geodesic loops also exist on topologically trivial genus-0 surfaces, where all such loops can continuously deform to a point. While a few existing 3D geometry-aware topological approaches may succeed in detecting such additional narrow loops, their construction can be cumbersome. To extend beyond the limitations of topologically nontrivial independent loops while remaining efficient, we propose a novel approach that leverages the shape’s skeleton for computing surface loops of handle or tunnel type. Given a closed surface mesh, our algorithm produces a practically comprehensive set of loops encircling narrow regions of the volume inside or outside the surface. Notably, our approach streamlines and expedites computations by accepting a skeleton, a 1D representation of the shape, as part of the input. Specifically, handle-type loops are discovered by examining a small subset of the skeleton points as candidate loop centers, while tunnel-type loops are identified by examining only the high-valence skeleton points.</div></div>","PeriodicalId":50628,"journal":{"name":"Computers & Graphics-Uk","volume":"127 ","pages":"Article 104177"},"PeriodicalIF":2.5,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0