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Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Face anti-spoofing is very significant to the security of face recognition. Many existing literatures focus on the study of photo attack. For the video attack, however, the related research efforts are still insufficient. In this paper, instead of extracting features from a single image, features are learned from video frames. To realize face anti-spoofing, the spatiotemporal features of continuous...
Cooperative target has been widely applied in vision-based navigation for unmanned aerial vehicle. For overcoming the targets susceptibility of the surroundings, a fast and accurate detection approach based on multiple features is put forward. Firstly, utilize the pyramid image preprocessing method to eliminate some noise. Then the image features consisting of image contours, Hu moment invariants...
Searching a suitable parking space in populated metropolitan city is extremely difficult for drivers. Serious traffic congestion may occur due to unavailable parking space. Automatic smart parking system is emerging field and attracted computer vision researchers to contribute in this arena of technology. In this paper, we have presented a vision based smart parking framework to assist the drivers...
Deep Convolutional Neural Networks based object detection has made significant progress recent years. However, detecting small scale objects is still a challenging task. This paper addresses the problem and proposes a unified deep neural network building upon the prominent Faster R-CNN framework. This paper has two main contributions. Firstly, an Atrous Region Proposal Network (ARPN) is proposed to...
Examination and identification of tool marks is traditionally carried out under a comparison microscope by forensic scientists. This manual process is dependent on the experience of the examiner, including subjectivity. In order to improve the reliability and repeatability of the process in criminal investigation and trial, automation and quantification for tool mark examination is demanded. Shear...
This paper first introduce the general method of Deformable Part Model(DPM). In order to improve the speed of front vehicle detection, first, this paper propose a method to accelerate the calculation speed of HOG feature. Second,based on a series of important accelerating mechanisms, this paper mainly use Vector Quantization and K-means clustering algorithm to speed up the HOG feature computing speed,...
At the single-cell level in the visual system, the properties of the receptive field (RF) are important bases of visual information processing. The area surrounding classical receptive field (CRF) is called the non-classical receptive field (nCRF), the modulatory effects of which are regarded as an important basis of visual information processing including contour detection. The modulation type (facilitation...
Saliency detection aims to focus attention on the important parts of a map, which is an excellent ability of human visual system. In this paper, we present a saliency detection model based on the principle that the pixels belong to the background are more disperse than the ones of the target area. Color contrast in different channels is employed to classify the pixels. Our method outperformed five...
The paper presents a robust algorithm for detecting of features, the effectiveness of the robust detector of bright and dark features analyzed in the processing of natural scene images. Images in computer vision systems are often exposed to noise, such action causes detector performance degradation and increases of rate false alarms. Research shows that the effectiveness of the features detection...
To accomplish the wear region extraction in the cutting tool wear detection system exactly, an image segmentation method based on L0 gradient minimization model and improved CV model is proposed in this paper. Firstly, the original image is smoothed by L0 gradient minimization model. Then the Otsu method is used to segment the smoothed image to achieve the initial location of the wear region in the...
Chinese calligraphy style evaluation and generation are important to the aim of cultural heritage preservation. Character skeleton extraction is a key preprocessing step and most existing algorithms suffer from drawbacks of non-single pixel width, bifurcation etc. In this paper, an optimization process is proposed to overcome these drawbacks to some extent. It gets the provisional skeleton using a...
Images can substantially change their appearance and shape when they are acquired using different modalities, with lighting variations or at widely different viewpoints. Even with the state-of-the-art technology, e.g., the generalized dual-bootstrap iterative closest point (GDB-ICP) method, it is still difficult to register those challenging images. To handle this issue, this paper proposes a novel...
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