Deep convolutional neural networks have demonstrated significant performance improvements in face super-resolution tasks. However, many deep learning-based approaches tend to overlook the inherent structural information and feature correlation across different scales images, making accurate recovery of structure low-resolution cases challenging. To address this, this paper proposes a method tha...

Contrary to the traditional economic prediction that prices decrease as more firms enter market, this paper finds a non-monotonic relationship between number of and in online book markets. A substantial posted is observed when market moves from monopoly duopoly. Surprisingly, further expands, converge price rather than competitive price. This because sellers increase on internet, cost for consu...

We propose a multi-scale elastic graph matching (MS-EGM) algorithm for face detection, in which the conventional EGM is improved with two simple image processing techniques of the Gabor wavelet-based pyramid and the weak Gabor feature elimination. It is expected to solve difficulties of the real-time process in the conventional EGM. The Gabor wavelet-based pyramid effectively reduces not only t...

A method for face recognition using profile images based on the scale-space filtering is presented in this paper. A grey-level image of profile is thresholded to produce a binary, black and white image, the black corresponding to face region. A pre-processing step then extracts the outline curve of the front portion of the silhouette that bounds the face image. From this curve, a set of twelve ...

Although the amount or scale of biographical knowledge held in store about a person may differ widely, little is known about whether and how these differences may affect the retrieval processes triggered by the person's face. In a learning paradigm, we manipulated the scale of biographical knowledge while controlling for a common set of minimal knowledge and perceptual experience with the faces...

This paper describes an algorithm that uses multi-scale Gaussian differential features (MGDFs) for face recognition. Results on standard sets indicate at least 96% recognition accuracy, and a comparable or better performance with other well known techniques. The MGDF based technique is very general; its original application included similarity retrieval in textures, trademarks, binary shapes an...

We proposed MEGI model for description and recognition of concave objects. The set of MEGI data consists of position vector and normal vector. No surface shape is needed, and the connectivity of each neighboring surface is not required. Using these features, elements uni cation procedure \multi scale MEGI" is proposed in this paper. Furthermore, Human face identi cation is also performed by mul...

Facial recognition is a method to identify an individual from his image. It has attracted the intention of large number researchers in field computer vision recent years due its wide scope application several areas (health, security, robotics, biometrics...). The operation this technology, so much demand today's market, based on extraction features input image using techniques such as SIFT, SUR...