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Contour detection is a fundamental problem in computer vision. However, there is still a considerable disparity between detection results and actual contours. To detect object-level contours on the basis of comprehensive analysis of potential edges, we present a deep-learning-based approach with a conditional random fields (CRF) model. We obtain the initial edgemap with a VGGNet-based model, and establish...
This paper proposes a new intrinsic image decomposition method that decomposes a single RGB-D image into reflectance and shading components. We observe and verify that, a shading image mainly contains smooth regions separated by curves, and its gradient distribution is sparse. We therefore use ℓ1-norm to model the direct irradiance component — the main sub-component extracted from shading component...
We present a formal description of entanglement swapping of any two, arbitrarily mixed, density matrices. Application of this result reveals bounds on the rank and concurrence of the final state for several classes of input states.
In the complex industry processes, failures occurred during manufacturing may deteriorate the final product quality, which results in a large number of scrapped products and thus a huge loss of the manufacturing Yield. To control the production steps, alarms go off to indicate occurred problems. However, alarms may be frequently raised which reduces the ability of operators to manage plant abnormalities...
Traditional neuropsychological tests of executive function are designed to assess a range of behavioral competencies necessary for the cognitive control of behavior in the real world. Though considered the ‘gold standard’, these pen-and-paper tests have been criticized for questionable relevance to everyday functioning. Immersive virtual reality (VR) technologies may be a viable tool for developing...
Image noise, textureless regions, and occlusions are still problems of stereo matching. We propose a novel method to address these problems. Firstly, initial disparity map and reliability map are obtained by stereo matching in the pixel level. In this stage, the proposed approach not only imposes the photo-consistency constraint, but also explicitly associates the geometric coherence to solve the...
Apperceiving the road type timely is beneficial to the acceleration, braking and other operations of the unmanned vehicle, so as to improve the safety and reliability. Recognition of the road type plays an important role in the field of unmanned vehicles. In this paper, color correlation feature and Tamura texture feature has been extracted from the image taken by the car camera and fused together,...
We present here a browser-based application for visualizing patterns of connectivity in 3D stacked data matrices with large numbers of pairwise relations. Visualizing a connectivity matrix, looking for trends and patterns, and dynamically manipulating these values is a challenge for scientists from diverse fields, including neuroscience and genomics. In particular, high-dimensional neural data include...
This work proposes a texture classification algorithm using three elements of fractal analysis: fractal dimension, lacunarity and succolarity. Beside other papers, the interconnection of fractal elements is taken into account as a texture classification factor. The three fractal analysis elements are presented in the paper and were implemented using Matlab. Fractal dimension spectrum, mean of lacunarity...
Stereo matching is the key problem in many stereo vison based 3D applications. One of the factors make local stereo matching time-consuming is that every pixel has the same disparity range as the pre-set one, which should be larger than all possible disparities. An improper pre-set disparity range may lead to redundant computation for some pixels and inadequate computation for some others. In this...
The change of appearance of the target object is one of important issue in visual tracking. It is because some factors such as camera motion, illumination change, motion change, occlusion, and size change are influenced to the object target during tracking. Recently, discriminative correlation filters (DCF) gave good results to handle these problems. Unfortunately, the DCF only works in the single-resolution...
A reversible watermarking algorithm in low distortion is proposed for color images in this paper. Through analyzing the correlation of different color components in color image, and expanding prediction pixels by adaptive prediction operator, the embedding of watermark data and the retrieving of the original image are realized. Experiments show that, this algorithm achieves better effect compared...
Studying gaze behavior (where someone looks) is an emerging area of research particularly in the domain of behavioral psychology. Gaze behavior can, for instance, indicate the amount of attention paid in certain tasks and whether the performance is natural or not. Also, it can indicate the level of competence and experience of the user. Therefore, it has the potential to be used as an evaluative tool...
We present a modification to time-delay and phase-shift estimators used in ultrasound imaging methods. In this modification, we selectively eliminate covariance terms from the estimator corresponding to channel signal pairs that have low coherence. We demonstrate this modification in simulation and phantom experiments in the application of color flow imaging. We demonstrate this technique in application...
In this paper we proposed a simple and effective method of image blurred region detection is based on RGB color space feature information and local standard deviation of image. According to re-blurred the partially blurred image by a Gaussian function, compare the difference of RGB feature information in different regions of image, and then combined with the local standard deviation of image as the...
Secret image is converted into meaningful shares using a technique called visual sharing. Information is not disclosed by any single share except for all shares. Printing the encrypted secret on transparencies and stacking them will reveal the secret. More than one secret is encrypted by the visual sharing of multiple secrets and thus encryption capacity is increased when compared to a single secret...
Correlation filter based trackers are well studied for object tracking and shown great interest to the research community in recent years. The vast majority of the works make utilization of either color feature channels or Histogram of Gradient feature channels for object tracking in visual spectrum. However, the strength of feature channels varies from RGB videos to thermal infrared videos. Subsequently,...
Encryption is one of many methods that have been used to secure storage and transmit images over unsecured and open networks. The asymmetric cryptography need more time for encryption and decryption. In this paper we suggested new method for image encryption that has the potential to overcome many of encryption problems. The proposed algorithm based on the concept of scrambling the positions of pixels,...
This paper is among the first to adapt automatic jigsaw puzzle solvers, which are methods of assembling jigsaw puzzles, to the field of information security. Block-based scrambling encryption schemes, which have been mainly proposed for Encryption-then-Compression (ETC) systems, have enough key spaces for protecting brute-force attacks. However, each block in encrypted images has almost the same correlation...
Human face is an important object in an image database due to its unique features (eyes, mouth, nose etc.) in every human being. The detection & recognition of a face in an image using template matching is one of the profound research interest in the field of image processing. Various approaches have been proposed in the literature to extract the visual facial features based on texture, color,...
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