The Visual Computer: International Journal of Computer Graphics

The corner detection plays an important role in the area of image processing and computer vision. The current corner detection methods often utilize few cues or single model to improve the detection correctness and repeatability. A composite model ...

Ghost removal in high dynamic range imaging is a challenging problem especially when relative camera or object motion exists. To solve the problem, an effective coarse-to-fine deghosting method combining registration and matching based on ...

Camera pose optimization is the basis of geometric vision works, such as 3D reconstruction, structure from motion, and visual odometry. We designed a multi-frame pose optimization method based on the inverse compositional algorithm. The neural ...

Scene parsing is one of the fundamental tasks in computer vision. Humans tend to perceive a scene in a hierarchical manner, i.e., first identifying the coarse category (e.g., vehicle) of a group of objects and then the fine category (e.g., bicycle,...

A match is considered as an incorrect match when the matched features in two views do not correspond to the same physical location. It is inevitable that generates mismatches at a local descriptor level. Differentiating true and false matches ...

In this paper, we present a real time on-line augmented/diminished reality system that runs entirely on the hand-held moving mobile device. Specifically, we introduce an improved inpainting algorithm that is designed for the on-line usage (i.e., ...

Image-based virtual try-on tasks with the goal of transferring a target clothing item onto the corresponding region of a person have attracted increasing research attention recently. However, most of the existing image-based virtual try-on methods ...

Recent works on fine-grained visual categorization rely on detecting discriminative regions that correspond to specific visual patterns. Promising progress has been obtained by constructing complicated network architecture, which either involves ...

Faces are the most common biometric used for the identification of a person. Law enforcement agencies use face as a key point to identify the suspect involved in unlawful activities. Forensic sketches are normally developed by the sketch artist ...

Pose-invariant facial expression recognition is one of the popular research directions within the field of computer vision, but pose variant usually change the facial appearance significantly, making the recognition results unstable from different ...

One of the most important issues in image processing is the approximation of the image that has been lost due to the blurring process. These types of matters are divided into non-blind and blind problems. The second type of problem is more complex ...${}_{\mathrm{}}{}_{\mathrm{}}$

Accurately estimating the number of individuals contained in an image is the purpose of the crowd counting. It has always faced two major difficulties: uneven distribution of crowd density and large span of head size. Focusing on the former, most ...

Nowadays, many efficient content-aware image resizing techniques are being used to safeguard the prominent regions of the image so that aesthetically pleasing retargeting results can be generated. In this paper, firstly various energy map ...

In this study, we present the first actual working system that can project content onto a tunnel wall from a moving subway train so that passengers can enjoy the display of digital content through a train window. Our stand-alone system can be ...

Near-infrared (NIR) imaging can add very useful data to many visible range image processing applications. In this paper, new fusion techniques are proposed to benefit from the data of both NIR/RGB sensors for the application of scene recognition ...

Recent developments reveal the prominence of Diabetic Retinopathy (DR) grading. In the past few decades, Wavelet-based DR classification has shown successful impacts and the Deep Learning models, like Convolutional Neural Networks (CNN’s), have ...

Moving object tracking is one of the key issues in the domain of computer vision. A variety of challenges are posed while tracking the object in the real-world scenario. In this paper, we have proposed a particle filtering-based algorithm to track ...

Skin disease cases are rising in prevalence, and the diagnosis of skin diseases is always a challenging task in the clinic. Utilizing deep learning to diagnose skin diseases could help to meet these challenges. In this study, a novel neural ...

Visibility restoration of images under haze and dust weather is essential in computer vision tasks. In this work, an algorithm for image visibility restoration based on color correction and composite channel prior (CCP) is proposed. First, the ...

Humans use simple sketches to convey complex concepts and abstract ideas in a concise way. Just a few abstract pencil strokes can carry a large amount of semantic information that can be used as meaningful representation for many applications. In ...

Temporal action localization (TAL) task which is to predict the start and end of each action in a video along with the class label of the action has numerous applications in the real world. But due to the complexity of this task, acceptable ...

Current research in real-time water simulation can also calculate hydraulic erosion to a landscape; however, vegetation, which carries one of the biggest impacts on hydraulic erosion, is often not considered. We proposed an improvement upon the ...

This paper is on the concept of quantum steering and quantum entanglement of two observers. The concept is applied to a multi-view computer vision system that incorporates two cameras. Three separate multi-view static camera setups are used to ...

For security inspection, detecting prohibited items in X-ray images is challenging since they are usually occluded by non-prohibited items. In X-ray images, different materials present different colors and textures. On this basis, we exploit the ...

Learning discriminative features and mining salient visual patterns play an important role in salient object detection (SOD) task. Existing SOD methods suffer from limited receptive field and insufficient cross-level feature mining. To this end, ...

The research community considers handwritten word recognition (HWR) as an open research problem to date. The reasons behind this are variations in intra-/interpersonal writing style, overlapping and/or touching characters in a word, degraded ...

Image processing-based water level detectors have promising practical application value in intelligent agriculture and early water logging alerts. However, water level recognition based on image processing faces illumination, shooting angle, and ...

Human emotion recognition is a technique for identifying human emotions with respect to various aspects of human life, such as in decision-making, detecting lies, assessing social behaviour, measuring brain-related activity and identifying the ...

In order to improve the detection accuracy of the network, it proposes multi-scale feature fusion and attention mechanism net (MFANet) based on deep learning, which integrates pyramid module and channel attention mechanism effectively. Pyramid ...