Multimodal image fusion is the process of combing relevant biological information that can be used for automated industrial application. In this article, we present a novel framework combining fractal constraint with group sparsity to achieve optimal quality. First, adopt idea patch division and componentwise separation perceive characteristics across multimodality sources. Then, preserve spatial against redundancy component-entanglement, proposed. A dual variable weighting rule inherently...

Smart factories are fostered by integrating intelligent systems and ICT technologies. The role they play is crucial in the spread of Industry 4.0 economic growth developed countries. can be empowered using several sensors aimed at making them more "smart." Unfortunately, work accidents still very common resulting human losses permanent injuries. This makes it urgent key to implementing security safety measures also context a smart factory. In this article, novel framework for supporting...

Emotion estimation from face expression analysis is nowadays a widely-explored computer vision task. In turn, the classification of expressions relies on relevant facial features and their dynamics. Despite promising accuracy results achieved in controlled favorable conditions, processing faces acquired at distance, entailing low-quality images, still suffers significant performance decrease. particular, most approaches related computational models become extremely unstable case very small...

Abstract Facial Expression recognition is a computer vision problem that took relevant benefit from the research in deep learning. Recent neural networks achieved superior results, demonstrating feasibility of recognizing expression user single picture or video recording face dynamics. Research studies reveal most discriminating portions surfaces contribute to facial expressions are located on mouth and eyes. The restrictions for COVID pandemic reasons have also revealed state-of-the-art...

Face-based recognition methods usually need the image of whole face to perform, but in some situations, only a fraction is visible, for example wearing sunglasses or recently with COVID pandemic we had wear facial masks. In this work, propose network architecture made up four deep learning streams that process each one different element, namely: mouth, nose, eyes, and eyebrows, followed by feature merge layer. Therefore, segmented into part interest means ROI masks keep same input size...

Recent regulations to block the widespread transmission of COVID-19 disease among people impose use facial masks indoor and outdoor. Such restriction becomes critical in all those scenarios where access controls take benefit from biometric recognition systems. The occlusions due presence a mask make significant portion human faces unavailable for feature extraction analysis. This work explores contribution solely periocular region face achieve robust approach suitable mobile devices. Rather...

Face recognition is an important application of pattern and image analysis in biometric security systems. The COVID-19 outbreak has introduced several issues that can negatively affect the reliability facial systems currently available: on one hand, wearing a face mask/covering led to growth failure cases, while other, restrictions direct contact between people prevent any data being acquired controlled environments. To effectively address these issues, we designed hybrid methodology...

The modern use of communication, the information they contain and their protection at all stages (creation, storage, sending receiving) have resulted in infrastructures that exponentially grow year by must be accurately protected if we want to communicate with our interlocutors without others interfering (on purpose or unintentionally), intercepting, modifying damaging communication fraudulently. Today most flowing over Internet is transported large-scale distributed systems secure version...

Emotion recognition from gait has gained significant interest due to its applicability in different fields such as healthcare, social cues, surveillance, and smart applications. Gait, a biometric trait, offers unique advantages, allowing remote identification robust even uncontrolled scenarios. Moreover, analysis can provide valuable insights into an individual's emotional state. This work presents the "Walk-as-you-Feel" (WayF) framework, novel approach for gait-based emotion that does not...

Face identification is one of the most widely adopted approach in several real scenarios. Unfortunately, presence occlusions or non-cooperative subjects nontrivial issues arise. This work explores a complementary to biometric face recognition, that dynamics facial landmark during phonation while pronouncing sentences. These (both periocular and labial area) can be seen as kind signature uniquely unmistakably identifies an individual. The experimental results focus attention on area, which...

The wide adoption of Consumer Electronics have boosted several fields including entertainment, communications and recreation. need communication took advantage by the spread a plethora consumer electronics devices, such as modern smartphones. Such devices are often used for sharing multimedia contents among group people. This paper illustrates practical application to be sensible information (such audio or video data) members organization, law enforcement, judicial court, lawyers, so on....

Face recognition has become essential as a convenient biometric-based solution for plethora of different consumer electronics applications, including access control systems, intelligent environments, smartphone authentication systems and so on. Early in 2020, the COVID-19 pandemic caused widespread use face masks, which containing outbreak. The masks cause visible alteration facial appearance, covering almost 50% human face. In this work, an image similarity technique is applied to assess...

Robots are typically limited by their processing power, memory, and storage capacity compared to modern computers. This limitation can restrict the complexity of customized applications that be integrated into them enhance social or active interaction skills. To address this challenge, we propose a framework with client-server-like architecture. The enables energy-hungry AI processed on cloud-server side, while humanoid robots client side only acquire data from external sensors use output...