Thir paper presents a new techniqzre for face recognition that can cope with partial occlussion or shong vuriations in facial expression. The method hies to solve the problem Pom near- holistic perspective. main idea is eliminate some features which may came reduction of accuracy tinder occlwion expression changing. To test and evaluate performance technique. series experiments have been carried out shown improved pei$onnance robustness when compared classical PCA.

Automatic summarization generation of sports video content has been object great interest for many years. Although semantic descriptions techniques have proposed, the approaches still rely on low-level descriptors that render quite limited results due to complexity problem and low capability represent content. In this paper, a new approach automatic highlights soccer videos using audio-visual is presented. The based segmentation sequence into shots will be further analyzed determine its...

IC Reverse engineering is the process to analyze an integrated circuit obtain information about its design, materials, logic circuitry, functionality, performance and other relevant features. The increasingly complexity of microchips using a greater number layers gates makes this unaffordable when traditional methods that rely on human inspection analysis. Therefore, digital image processing presented as fruitful field for automation. In paper system circuitry extraction, analysis...

This paper presents a comparison of the performance different side information generation methods for multiview distributed video coding scenarios. Existing literature on this topic relies pure temporal interpolation (by means motion compensation), inter-camera disparity compensation) or combination both. In work approach is used by calculating vectors an available conventionally-encoded camera (one that not encoded using principles) and then obtained to generate requires it. Variations...

Face recognition based on 3D techniques is a promising approach since it takes advantage of the additional information provided by depth which makes whole more robust against illumination and pose variations. However, these approaches require cooperation person to acquire accurate data; thus, they are not appropriated for some applications such as video surveillance or restricted area access points where only 2D face image disposable. In this paper, novel presented data in training stage but...

This paper addresses one of the main challenges face recognition (FR): facial occlusions. Currently, human brain is most robust known FR approach towards partially occluded faces. Nevertheless, it still not clear if humans recognize faces using a holistic or component-based strategy, even combination both. In this paper, three different approaches based on principal component analysis (PCA) are analyzed. The first one, approach, well-known eigenface approach. second method, variation...

This paper presents a novel face recognition approach which uses only partial information in the stage. The algorithm is based on an extension of classical PCA and called (P2CA). P/sup 2/CA combined 2D-3D scheme requires 3D data training process but can 2D pictures strategy has been proven to be very robust pose variation scenarios showing that retains all spatial while picture effectively recovers from available data. Simulation results with multi-view database have shown rates above 92%...

In this paper we present a reliable depth estimation system which works in real-time with commodity hardware. The is specially intended for 3D visualization using autostereoscopic displays. core of work an implementation modified version the adaptive support-weight algorithm that includes highly optimized algorithms GPU, allowing accurate and stable map generation. Our approach overcomes typical problems live systems such as noise flickering. Proposed integrated within versatile GStreamer...

Automatic generation of sports highlights from recorded audiovisual content has been object great interest in recent years. The problem is indeed important the production second and third division leagues videos where quantity raw material significant does not contain manual annotations. Many approaches are mostly based on analysis video disregard information provided by audio track. In this paper, a new approach that combines descriptors for automatic soccer proposed. segmentation contents...

Abstract Computer vision coupled to deep learning is a promising technique with multiple applications in the industry. In this work, potential of has been assessed classification two varieties almond trees ( Prunus dulcis ), Soleta and Pentacebas . For that, convolutional neural network named VGG16 was used. The most appropriate configuration for model training studied, which included comparison between different filling modes reflect nearest ) data augmentation step, evaluation batch size...

In this paper, we present a flexible system to verify any kind of graphic TV character or symbol in television charts. The proposed approach is very robust towards translations, rotations, changes scale and illumination variations the characters. Another important attribute its speed. should be fast since characters have verified real production line sets. composed accurate preprocessing modules order normalize characters, PCA- based verification method. Results show high performance with...

In our previous work we presented a new 2D-3D mixed face recognition scheme called Partial Principal Component Analysis (P <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> CA). The main contribution of P CA is that it uses 3D data in the training stage but accepts either 2D or information stage. We think approaches are next step research since most surveillance access control applications only dispose single camera which used to acquire...

Recently, 3D face recognition algorithms have outperformed 2D conventional approaches by adding depth data to the problem. However, independently of nature (2D or 3D) approach, majority them required same format in test stage than used for training system. This issue represents main drawback research since should be acquired under highly controlled conditions and most cases require collaboration subject recognized. Thus, real world applications (control access points surveillance) this kind...

Abstract Varietal control to avoid unwanted varietal mixtures is an important objective for the nursery plant industry. In this study, we have developed and analyzed capabilities of a computer vision system based on deep learning varieties in industry evaluating its capabilities. For purpose, three datasets images were compared. The came from two almond trees ( Prunus dulcis ) named Soleta Pentacebas . Each dataset contained with different scales: whole plant, leaf, venation....

With the growth of digital television TV program classification has become a major research topic. Recent techniques have reported acceptable results for specific genre detection. Cartoons is one these genres which deceived some attention because its importance in push scenarios where parents want to control their children 's access television. In this paper flexible scheme based on non-linear classifier called fuzzy integral presented. This operator supposed not only classify but also give...

In this paper a laboratory course on digital communications is presented. This has been designed for medium degree professionals in the telecommunications field, and it based training equipment developed to change usual theoretical classrooms seminars.

The main achievement of this work is the development a new face recognition approach called partial principal component analysis (P/sup 2/CA), which exploits novel concept using only information for stage. This uses 3D data in training stage but it permits to use either 2D or stage, making whole system more flexible. Preliminary experiments carried out on multi-view database composed 18 individuals have shown robustness against big pose variations obtaining higher rates than conventional PCA...

Automatic summarization generation of sports video content has been object great interest for many years. Although semantic descriptions techniques have proposed, the approaches still rely on low-level descriptors that render quite limited results due to complexity problem and low capability represent content. In this paper, a new approach automatic highlights soccer videos using audio-visual is presented. The based segmentation sequence into shots will be further analyzed determine its...

Multimodal 2D+3D face biometrics commonly report that performance improves relative to of a single modality. Complete 2D and 3D data can be available during training because they are acquired in controlled scenario. However, the evaluation scenario, only partial hence for recognition. In this paper we present experimental results determine how contribute task recognition using principal component analysis (P <sup xmlns:mml="http://www.w3.org/1998/Math/MathML"...

In this paper, a new blind multiuser detection algorithm is presented. It can both cancel interference and estimate the multipath channel response in way. The method has been specially conceived for low coherence bandwidth channels such as ionospheric exhibits very computational requirements. Real-time measurements from fully digital HF radio-link are presented that confirm reliability of channel.