Abstract A hesitant fuzzy (HF) set is an extension of the sets and a T-spherical (T-SFS) generalization spherical (SFS). HF has significant role for modelling disagreements decision-makers over membership degree element. Also, T-SFS quite effective in uncertainty decision-making (DM) problems. In this paper, we define concept (HT-SF) (HT-SFS) by combining concepts T-SFS, present some set-theore...

Shape-From-Silhouette (SFS), also known as Visual Hull (VH) construction, is a popular 3D reconstruction method which estimates the shape of an object from multiple silhouette images. The original SFS formulation assumes that all of the silhouette images are captured either at the same time or while the object is static. This assumption is violated when the object moves or changes shape. Hence ...

Sensitivity to variations in illumination is a fundamental and challenging problem in face recognition. In this paper, we describe a new method based on symmetric shape-from-shading (SFS) to develop a face recognition system that is robust to changes in illumination. The basic idea of this approach is to use the symmetric SFS algorithm as a tool to obtain a prototype image which is illumination...

Many different shape from shading (SFS) algorithms have emerged during the last three decades. Recently, we proposed [1] a unified framework that is capable of solving the SFS problem under various settings of imaging conditions representing the image irradiance equation of each setting as an explicit Partial Differential Equation (PDE). However, the result of any SFS algorithm is mainly affect...

We propose an improved shape from shading (SFS) algorithm which is an extension of the recently published algorithm by Zheng and Chellappa 13]. A markedly more accurate estimate of the azimuth of the illumination source is presented. Depth reconstruction has been improved upon by using a new set of boundary conditions and adapting a more sophisticated technique for hierarchical implementation o...

Emerging 5G technologies can significantly reduce end-to-end service latency for applications requiring strict quality of (QoS). With network function virtualization (NFV), to complete a client’s request from those applications, the data sequentially go through multiple functions (SFs) processing/analysis but introduce additional processing delay. To delay serially-running SFs, parallelism (NFP...

electroencephalogram (eeg) is one of the useful biological signals to distinguish different brain diseases and mental states. in recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classifiers are suggested to recognize emotions from eeg signals. in this research, we introduce an emot...

Visual Hull (VH) construction is a popular method of shape estimation. The method, also known as Shape from Silhouette (SFS), approximates shape of an object from multiple silhouette images by constructing an upper bound of the shape called the Visual Hull. SFS is used in many applications such as non-invasive 3D object digitization, 3D object recognition and more recently human motion tracking...

We present a new efficient combinatorial algorithm for recognizing if a given symmetric matrix is Robinsonian, i.e., if its rows and columns can be simultaneously reordered so that entries are monotone nondecreasing in rows and columns when moving toward the diagonal. As main ingredient we introduce a new algorithm, named Similarity-First-Search (SFS), which extends Lexicographic BreadthFirst S...