33 downloads
115 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
133 downloads
257 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
371 downloads
284 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
159 downloads
340 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
263 downloads
293 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
288 downloads
737 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
105 downloads
220 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
58 downloads
273 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
2 citations
367 downloads
1,414 views

We propose a multi-scale image fusion scheme based on guided filtering. Guided filtering can effectively reduce noise while preserving detail boundaries. When applied in an iterative mode, guided filtering selectively eliminates small scale details while restoring...

["Computer Vision"]
doi:10.7717/peerj-cs.80
2 citations
280 downloads
1,353 views

Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for...

["Human-Computer Interaction","Artificial Intelligence","Computer Vision"]
doi:10.7717/peerj-cs.75
39 downloads
192 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
2 citations
814 downloads
2,583 views

Edge preserving filters aim to simplify the representation of images (e.g., by reducing noise or eliminating irrelevant detail) while preserving their most significant edges. These filters are typically nonlinear and locally smooth the image structure while minimizing...

["Algorithms and Analysis of Algorithms","Computer Vision"]
doi:10.7717/peerj-cs.72
3 citations
648 downloads
2,700 views

Three-dimensional (3D) data of many kinds is produced at an increasing rate throughout all scientific disciplines. The Portable Document Format (PDF) is the de-facto standard for the exchange of electronic documents and allows for embedding three-dimensional models....

["Computer Vision","Data Science","Digital Libraries","Emerging Technologies","Scientific Computing and Simulation"]
doi:10.7717/peerj-cs.64
217 downloads
406 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
146 downloads
331 views

We present a geometric model of image formation in Scheimpflug cameras that is most general. Scheimpflug imaging is commonly used is scientific and medical imaging either to increase the depth of field of the imager or to focus on tilted object surfaces. Existing...

["Computer Vision","Theory and Formal Methods"]
doi:10.7287/peerj.preprints.1887v1

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