For the massive forensic video data, if we watch and intercept the key information manually, it will take a lot of time and delay the opportunity of obtaining useful evidence. For real-time processing the data with high accuracy, the computer ...

Low-light image processing is a common issue in industry, media and other practical application fields. Enhancing image brightness or contrast directly may bring accompanying noise and color cast. The proposed method is a feature based deep F-Retinex-...

In an endoscopic thyroidectomy, parathyroid injury can lead to hypocalcemia for life. It is of great help to assist surgeons to complete endoscopic thyroidectomy without damaging the parathyroid. Considering that the shape of the parathyroid is usually ...

Spectral images contain both spatial information and spectral information. The resolution of spectral information is very high, generally reaching nanometer level, but the spatial resolution is relatively low. Spectral image classification is a pixel ...

In image fusion, the most desirable information is obtained from multiple images of the same scene and fused to produce a composite image, which is more suitable for human visual perception and further image processing tasks. In this paper we propose a ...

Low-dose computed tomography (LDCT) is considered as the most effective method for early lung cancer screening in the clinic. However, it's still a significant challenge to ensure the quality of reconstructed images under the premise of reducing the ...

Home improvement companies usually build 3D models based on 2D floor plans, and then the computer will automatically simulate the decoration of different rooms, so clarifying the exact type of room becomes a necessary task for the automatic decoration. ...

Expert identification of horse breeds is an age-old task that can now be identified using genetic techniques. However, neither approach is cheap nor efficient. The automatic classification of horse breeds by computer vision is an effective solution. In ...

Recent advanced research shows that deep learning has great potential in facial expression recognition, specially, in the basic expression recognition field, many researchers have proposed lots of deep learning networks with excellent performance. As ...

As an effective auxiliary means for object detection task, region anchors are widely adopted in most of state-of-the art detectors. However, anchor's location and shape in those works are normally determined by experience or some preprocessing methods, ...

For object detection, the method based on multi-scale feature fusion are widely used to improve performance. However, performance improvements are limited due to the absence of sufficient global context information and the presence of various background ...

Infrared imaging has been an efficient anti-drone approach due to its low-cost, anti-interference and all-weather working characteristics. However, the detection of Unmanned Aerial Vehicle (UAV) through infrared camera is still a challenging issue ...

3D object detection aims to study how to perceive environmental information effectively, classify and locate interested objects accurately. In order to solve the problem that the object is easy to be lost in complex environments (such as partial ...

Pigeons have strong disease resistance and short reproductive cycle. It is an ideal sample for bird research. It has been widely used in scientific research and related experiments in the fields of biology, neurology, and medicine. Generally, after ...

Face anti-spoofing is the key to preventing security breaches in biometric recognition applications. Existing face anti-spoofing approaches usually well recognize the spoofing attacks when testing in particular datasets. But the performance drops ...

Computed tomography is an advanced imaging technology. It determines the attenuation coefficient distribution of the measured object based on known projection data and reconstruction algorithms. The filtered back-projection algorithm is one of the ...

Aerial image mosaic is to stitch the images taken by UAV (Unmanned aerial vehicles) from different positions into a panoramic image, which has attracted significant interest in enemy reconnaissance, terrain detection and environmental monitoring. Aiming ...

In pattern recognition and image processing feature extraction is one of essential parts as it facilitates the subsequent learning and generalization steps. Feature extraction aims to get the special characteristics of an object that can be applied to ...