The Visual Computer: International Journal of Computer Graphics

Scene-flow (SF) estimation is considered to be one of the most fundamental problems in scene understanding and autonomous control. The majority of the existing methods adopted for SF estimation suffer lack of robustness in some environments and ...

Object detection is a critical technology for the intelligent analytical processing of images captured by drones. The objects usually come in various scales and can be extremely small. Existing detection methods are inherently based on pyramid ...

Diabetic retinopathy (DR) is a common complication of diabetes which may lead to blindness. Early diagnosis can effectively prevent the deterioration of the disease and enable timely treatment. Ophthalmologists diagnose DR by observing ultra-wide ...

Owing to the irregular distribution of point clouds in 3D space, effectively compressing the point cloud is still challenging. Recently, numerous compression methods have been developed with outstanding performance for the compression of geometry ...

Monocular depth estimation is an open challenge due to the ill-posed nature of the problem at hand. Deep learning techniques proved capable of producing acceptable depth estimation accuracy but the lack of robust depth cues within RGB images ...

The human visual system unconsciously determines the color of the objects by “discounting” the effects of the illumination, whereas machine vision systems have difficulty performing this task. Color constancy algorithms assist computer vision ...

Panoramic video multimedia technology has made significant advancements in recent years, providing users with an immersive experience by displaying the entire 360° spherical scene centered around their virtual location. However, due to its larger ...

Recognition and extraction of elements from house plans present significant challenges in the construction, decoration and interior design industries. To address this issue, this paper proposes a wall segmentation system for house plans that ...

Text-to-image synthesis has achieved high-quality results with recent advances in diffusion models. However, text input alone has high spatial ambiguity and limited user controllability. Most existing methods allow spatial control through ...

Human motion prediction in various motion capture applications, e.g., optical and inertial, is challenging because of the complexity of human motion sequences. Current studies on this issue have insufficient analysis on the latent motion ...

We present an automated framework founded on texture transfer, facilitating the substitution of textures in garment images with specified ones for applications in garment design and online presentation. In contrast to previous methodologies, our ...

We propose an efficient method with energy constraints for constructing a Catmull–Clark surface that interpolates a given mesh. We approximate the surface energy of Catmull–Clark surfaces near extraordinary points by summing their finite ...

The physically based deformable curve models are widely used to simulate thin one-dimensional objects in computer graphics, interactive simulation, and surgery simulation. These models consider objects to be rods described by an adapted frame ...

Layout analysis is the first step in automatic grading and other OCR tasks. Although various layout analysis technologies have been developed for different application scenarios, existing approaches still have difficulty in achieving high accuracy ...

Convolutional neural network-based image style transfer models often suffer from temporal inconsistency when applied to video. Although several video style transfer models have been proposed to improve temporal consistency, they often trade off ...

Raw point cloud (PC) data acquired by 3D sensors or reconstruction algorithms inevitably contain noise and outliers, which can seriously impact downstream tasks, such as surface reconstruction and target detection. To address this problem, this ...

Nighttime dehazing is a challenging ill-posed problem due to the severe haze pollution and color attenuation. Since available daytime dehazing approaches cannot be consistently adapted to the nighttime case, this paper specifically designs ...

To communicate with one another hand, gesture is very important. The task of using the hand gesture in technology is influenced by a very common way humans communicate with the natural environment. The recognizing and finding pose estimation of ...

Feature-preserving mesh denoising has received noticeable attention in visual media, with the aim of recovering high-fidelity, clean mesh shapes from the ones that are contaminated by noise. Existing denoising methods often design smaller weights ...

Scene classification and recognition have always been one of the most challenging tasks of scene understanding due to the inherent ambiguity in visual scenes. The core of scene classification and recognition tasks is scene representation. Deep ...

Growing popularity of self-service in retail stores and increasing associated shrinkage presents an urgent need for computer-vision-based product recognition in the area of self-checkouts. The article focuses on individual product recognition ...

Unsupervised domain adaptation (UDA) aims to generalize knowledge learned from one labeled source domain to another unlabeled target domain. To extract domain-invariant feature representations, most existing UDA approaches leverage convolution ...

Temporal adaptive convolution has demonstrated superior performance over static convolution techniques in video understanding. However, it needs to be improved in long-time series modeling and multi-scale feature-map adaptation. To address these ...

Multispectral images, with their unique three-dimensional characteristics, require specialized spatial-spectral feature extraction modules to achieve superior compression results. Current end-to-end compression frameworks underperform compared to ...

Given a real source scene and a virtual target scene, the real-scene-constrained virtual scene layout synthesis problem is defined as how to re-synthesize the layout of the virtual furniture in the virtual scene to form a new virtual scene such ...

Facial expression recognition (FER) plays a vital role for applications based on human–computer interaction. In the past few years, many deep learning models have been proposed for FER, but their performance is limited due to challenges such as ...

Nonlinear ocean waves have a significant impact on the functioning of several offshore activities. Predicting the internal ocean waves plays a crucial role on submarine and ship operations. Data assimilation is a mechanism in which data observed ...

In image processing, computer vision algorithms are applied to regions bounded by closed contours. These contours are often irregular, poorly defined, and contain holes or unavailable areas inside. A common problem in computational geometry ...

Chinese landscape paintings, realistic landscape photographs, and oil paintings each possess unique artistic characteristics and painting features. Image-to-image translation between these three domains is an extremely challenging task. Existing ...