Image Recognition (Computer Vision)
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Recent papers in Image Recognition (Computer Vision)
A research area in Computer Vision focuses on the identification of articulated objects, such as human actions and movements of the hand, which can be used in human-computer interaction, surveillance, and other tracking systems. Two... more
The increasing demand of World Wide Web raises the need of predicting the user's web page request. The most widely used approach to predict the web pages is the pattern discovery process of Web usage mining. This process involves... more
The search for one digital image among the vast quantity of images is a real dilemma when it is based on image content rather than metadata such as eigenvalues or frequency coefficients. The search results for most of the existing methods... more
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we investigate the discriminative power of colour-based invariants in the presence of large illumination... more
La digitalizzazione delle iscrizioni: metodi e tecniche Poche discipline possono vantare di aver digitalizzato la quasi integrità del patrimonio documentario di loro interesse come l'epigrafia latina e greca ([12];[13]). Con trent'anni di... more
We would like to invite you to join this exciting new project as a chapter contributor. Since this is a textbook, a great deal of this chapter entails a survey on the topic under the paradigm of cyber-physical systems, what can be done... more
It is well known that this soiling can reduce the generation efficiency in PV system. In some case according to the literature of loss of energy production in photovoltaic systems can reach up to 50%. In the industry there are various... more
- SISTEM GRAFIKA KOMPUTER Teknologi Display Raster-scan Display Random-scan Display Monitor Color CRT Flat Panel Display Peralatan Input Interaktif Peralatan Hardcopy Perangkat Lunak Grafika - OUTPUT PRIMITIF Titik dan... more
International Journal of Computer Vision and machine learning (IJCVML) is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of the advanced vision computing. The goal of this journal... more
Efficient and accurate object detection has been an important topic in the advancement of computer vision systems. With the advent of machine learning and deep learning techniques, the accuracy for object detection has increased... more
This article proposes a new methodological approach to measure and map the size of coarse clasts on a land surface from photographs. This method is based on the use of the Mask Regional Convolutional Neural Network (R-CNN) deep learning... more
The realtime hand motion recognition under unconstrained environment is a challenging computer vision problem. The change in illumination and non-uniform background condition makes it very difficult to perform real-time hand gesture... more
The advent of social media, particularly Twitter, raises many issues due to a misunderstanding regarding the concept of freedom of speech. One of these issues is cyberbullying, which is a critical global issue that affects both individual... more
Biometric recognition systems have advanced significantly in the last decade and their use in specific applications will increase in the near future. The ability to conduct meaningful comparisons and assessments will be crucial to... more
IBM Visual Recognition utiliza algoritmos de deep learning para analizar imágenes de escenas, objetos, texto, entre otros elementos. Realizar hallazgos y construir una narrativa adecuada para comunicarlos son habilidades fundamentales... more
The thesis concentrates on computational methods pertaining to ancient ostraca - ink on clay inscriptions, written in Hebrew. These texts originate from the biblical kingdoms of Israel and Judah, and dated to the late First Temple period... more
This study analyzes a low-cost reliable real-time optimal monitoring platform for fused filament fabrication-based open source 3-D printing. An algorithm for reconstructing 3-D images from overlapping 2-D intensity measurements with... more
Logistic Regression (Preloaded Dataset) scikit-learn comes with a few small datasets that do not require to download any file from some external website. The digits dataset we will use is one of these small standard datasets. These... more
As technology continues to evolve, some traditional practices tend to fade. Stenography is a practice of writing dictations in terms of speed devised by Isaac Pitman. The said practice had been around the early 19th century to address the... more
With more and more attentions paid on health, people begin to care about healthy diet options created by experts on nutrition. However, it will take a long time to observe the effects by taking healthy diet. This causes great difficulty... more
The paper explains the development of a classification program which is to be integrated to a robot that will autonomously play chess. The problem is to perform a classification on a 12 class data set of chess pieces which works on a... more
Deep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, and security... more
This undergraduate thesis describes a voice recognition system used for home appliances control. Here it is tested using 3 loads but more loads can be added. Appliances can be controlled both using the voice and using ordinary push... more
—The paper presents an automated system for classification of fruits. A dataset containing five different fruits was constructed using an ordinary camera. All the fruits were analyzed on the basis of their color (RGB space), shape and... more
12th International Conference on Artificial Intelligence, Soft Computing and Applications (AIAA 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial... more
Identifying spatio-temporal synchrony in a complex, interacting and oscillatory coupled-system is a challenge. In particular, the characterization of statistical relationships between environmental or biophysical variables with the... more
A huge amount of paper based documents with valuable information is available in churches, libraries, caves, governmental and private institutions in a printed, typewritten and handwritten format. To enable those documents accessible and... more
Scope of the book: This book focusses on the technical concepts of deep learning and its associated branch Neural Networks for the various dimensions of image processing applications. The proposed volume intends to bring together... more
We created a robust computer vision classifier that performs well in a dataset that contains perturbations. To achieve this, we used various data augmentation and other deep learning model techniques, such as model ensembling, image... more
Augmented reality have undergone considerable improvement in past years. Many special techniques and hardware devices were developed, but the crucial breakthrough came with the spread of intelligent mobile phones. This enabled mass spread... more
Diabetes affects a lot of people everywhere, and has associated complications such as vision loss, heart failure and stroke. Among a group of 100 patients with diabetes, 10 people would likely have diabetes-related eye problems. An... more
Countless learning tasks require dealing with sequential data. Image captioning, speech synthesis, and music generation all require that a model produce outputs that are sequences. In other domains, such as time series prediction, video... more
Convolutional neural network (CNN) is one of the most prominent architectures and algorithm in Deep Learning. It shows a remarkable improvement in the recognition and classification of objects. This method has also been proven to be very... more