نتایج جستجو برای: descriptors

تعداد نتایج: 16260  

Journal: :Journal of Visualization and Computer Animation 2013
Gökçen Çimen Hacer Ilhan Tolga K. Çapin Hasmet Gürçay

Human body movements and postures carry emotion-specific information. On the basis of this motivation, the objective of this study is to analyze this information in the spatial and temporal structure of the motion capture data and extract features that are indicative of certain emotions in terms of affective state descriptors. Our contribution comprises identifying the directly or indirectly re...

Journal: :CoRR 2017
Yang Wang Vinh Tran Minh Hoai

Recently Trajectory-pooled Deep-learning Descriptors were shown to achieve state-of-the-art human action recognition results on a number of datasets. This paper improves their performance by applying rank pooling to each trajectory, encoding the temporal evolution of deep learning features computed along the trajectory. This leads to Evolution-Preserving Trajectory (EPT) descriptors, a novel ty...

Journal: :Computer Vision and Image Understanding 2018
Matthias Zeppelzauer Bartosz Zielinski Mateusz Juda Markus Seidl

Methods from computational topology are becoming more and more popular in computer vision and have shown to improve the state-of-the-art in several tasks. In this paper, we investigate the applicability of topological descriptors in the context of 3D surface analysis for the classification of different surface textures. We present a comprehensive study on topological descriptors, investigate th...

2016
Matthias Zeppelzauer Bartosz Zielinski Mateusz Juda Markus Seidl

We investigate topological descriptors for 3D surface analysis, i.e. the classification of surfaces according to their geometric fine structure. On a dataset of high-resolution 3D surface reconstructions we compute persistence diagrams for a 2D cubical filtration. In the next step we investigate different topological descriptors and measure their ability to discriminate structurally different 3...

2013
João Batista Florindo Dalcimar Casanova Joao B. Florindo N R Silva J B Florindo M C Gómez R M Kolb O M Bruno

This study proposes the application of fractal descriptors method to the discrimination of microscopy images of plant leaves. Fractal descriptors have demonstrated to be a powerful discriminative method in image analysis, mainly for the discrimination of natural objects. In fact, these descriptors express the spatial arrangement of pixels inside the texture under different scales and such arran...

2016
Ramon F. Pessoa William R. Schwartz Jefersson A. dos Santos

This master’s theses addressed two research issues in order to investigate and to propose effective solutions for image retrieval on mobile devices: 1) low-cost representation for mobile image search and 2) spatial visual feature extraction. First, we have tested twenty mid-level representations of binary descriptors, ten color descriptors, five texture descriptors and two shape descriptors in ...

2010
Ricardo M. Czekster Paulo Fernandes Thais Webber

Kronecker descriptors are an efficient option to store the underlying Markov chain of a model in a structured and compact fashion. The basis of classical numerical solutions for Kronecker descriptors represented models is the VectorDescriptor Product (VDP). The Shuffle algorithm is the most popular VDP method to handle generalized descriptors, i.e., descriptors with functional elements. Recentl...

Journal: :CoRR 2012
João Batista Florindo Mariana S. Sikora Ernesto C. Pereira Odemir Martinez Bruno

This work proposes the application of fractal descriptors to the analysis of nanoscale materials under different experimental conditions. We obtain descriptors for images from the sample applying a multiscale transform to the calculation of fractal dimension of a surface map of such image. Particularly, we have used the Bouligand-Minkowski fractal dimension. We applied these descriptors to disc...

Journal: :IEEE Trans. Circuits Syst. Video Techn. 2001
B. S. Manjunath Jens-Rainer Ohm Vinod V. Vasudevan Akio Yamada

This paper presents an overview of color and texture descriptors that have been approved for the Final Committee Draft of the MPEG-7 standard. The color and texture descriptors that are described in this paper have undergone extensive evaluation and development during the past two years. Evaluation criteria include effectiveness of the descriptors in similarity retrieval, as well as extraction,...

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