Preprints (not yet peer-reviewed)

37 downloads
64 views

With an increasing demand for stringent security systems, automated identification of individuals based on biometric methods has been a major focus of research and development over the last decade. Biometric recognition analyses unique physiological traits or behavioral...

["Computer Vision"]
doi:10.7287/peerj.preprints.27363v1
32 downloads
84 views

Protein pockets and cavities usually coincide with the active sites of biological processes, and their identification is significant since it constitutes an important step for structure-based drug design and protein-ligand docking applications. This paper presents...

["Bioinformatics","Computational Biology","Computer Vision","Graphics"]
doi:10.7287/peerj.preprints.27314v1
39 downloads
77 views

Machine learning is a field of study that uses computational and statistical techniques to enable computers to learn. When machine learning is applied, it functions as an instrument that can solve problems or expand knowledge about the surrounding world. Increasingly,...

["Artificial Intelligence","Computer Vision","Data Mining and Machine Learning","Data Science","Multimedia"]
doi:10.7287/peerj.preprints.27280v1
50 downloads
76 views

This paper describes a method that uses georeferenced landscape pictures extracted from open picture collections for the determination of the population's interest in spatial features. The automated method takes into account the coordinates of the camera position...

["Human-Computer Interaction","Computer Vision","Visual Analytics"]
doi:10.7287/peerj.preprints.27234v1
69 downloads
93 views

Smapshot is a web-based participatory virtual globe where users can georeference historical images of the landscape by clicking a minimum of six well identifiable correspondence points between the image and a 3D virtual globe. The images database is expected to...

["Human-Computer Interaction","Computer Education","Computer Vision","Graphics","Spatial and Geographic Information Systems"]
doi:10.7287/peerj.preprints.27204v1
60 downloads
156 views

Our work addresses the problem of automatically recognising a Sign Language alphabet from a given still image obtained under arbitrary illumination. To solve this problem, we designed a computational framework that is founded on the notion that shape features are...

["Human-Computer Interaction","Computer Vision"]
doi:10.7287/peerj.preprints.26725v1
194 downloads
298 views

In recent years, with the improvement in imaging technology, the quality of small cameras have significantly improved. Coupled with the introduction of credit-card sized single-board computers such as Raspberry Pi, it is now possible to integrate a small camera...

["Human-Computer Interaction","Artificial Intelligence","Autonomous Systems","Computer Vision"]
doi:10.7287/peerj.preprints.3410v1
677 downloads
331 views

Several ball tracking algorithms have been reported in literature. However, most of them use high-quality video and multiple cameras, and the emphasis has been on coordinating the cameras or visualizing the tracking results. This paper aims to develop a system...

["Artificial Intelligence","Computer Vision"]
doi:10.7287/peerj.preprints.3402v1
281 downloads
451 views

Sub-Saharan Africa and other developing regions of the world are dominated by smallholder farms, which are characterized by small, heterogeneous, and often indistinct field patterns. In previous work, we developed an algorithm for mapping both smallholder and commercial...

["Human-Computer Interaction","Algorithms and Analysis of Algorithms","Computer Vision","Spatial and Geographic Information Systems"]
doi:10.7287/peerj.preprints.3004v1
347 downloads
333 views

Recognition of human emotions from the imaging templates is useful in a wide variety of human-computer interaction and intelligent systems applications. However, the automatic recognition of facial expressions using image template matching techniques suffer from...

["Human-Computer Interaction","Algorithms and Analysis of Algorithms","Artificial Intelligence","Computer Vision","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.2794v1
420 downloads
811 views

Secret sharing approach and in particular Visual Cryptography (VC) try to address the security issues in dealing with images. In fact, VC is a powerful technique that combines the notions of perfect ciphers and secret sharing in cryptography. VC takes an image...

["Computer Vision","Cryptography","Graphics","Security and Privacy"]
doi:10.7287/peerj.preprints.2682v3
145 downloads
253 views

In this paper a method for detection of image forgery in lossy compressed digital images known as error level analysis (ELA) is presented and it's noisy components are filtered with automatic wavelet soft-thresholding. With ELA, a lossy compressed image is recompressed...

["Artificial Intelligence","Computer Vision","Data Mining and Machine Learning","Graphics"]
doi:10.7287/peerj.preprints.2619v1
72 downloads
296 views

The need of an approach for the definition of a platform-independent medical digital library, using only open-source tools, will be described. To test the need and the success of such an approach, a library will be created, which can later be used in a larger scale...

["Bioinformatics","Computer Vision","Digital Libraries","Software Engineering"]
doi:10.7287/peerj.preprints.2599v1
46 downloads
206 views

Li (ICCV, 2005) proposed a novel generative/discriminative way to combine features with different types and use them to learn labels in the images. However, the mixture of Gaussian used in Li’s paper suffers greatly from the curse of dimensionality. Here I propose...

["Computer Vision"]
doi:10.7287/peerj.preprints.2220v1
290 downloads
457 views

Current coral reef health monitoring programs rely on biodiversity data obtained through the acquisition and annotation of underwater photographs. Manual annotation of these photographs is a necessary step, but has become problematic due to the high volume of images...

["Computer Vision","Data Mining and Machine Learning"]
doi:10.7287/peerj.preprints.2026v2
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