Distance maps from unthresholded magnitudes

Antón-Canalís, Luis; Hernández-Tejera, Mario; Sánchez-Nielsen, Elena

doi:10.1016/j.patcog.2012.02.010

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Their placement is based on the classical definition of the Distance Transform (DT) where each point receives a value representing a point distance from the nearest object [20]. However, Antón-Canalís et al have redefined the term object [21] in their Distance from Unthresholded Magnitudes Maps (DMUM) algorithm, where the expression on the "distance to the nearest object" was replaced by the "distance to the nearest most relevant magnitude area" in a mapping function directly based on unthresholded magnitudes. Thus, DMUM provides a map of the local minima located along the processed image and defines the trixel vertices (see Figure 2-b).…”

Section: Triangular Superpixelsmentioning

confidence: 99%

Optimized clothes segmentation to boost gender classification in unconstrained scenarios

Freire-Obregón,

Castrillón-Santana,

Lorenzo-Navarro

2016

Preprint

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Several applications require demographic information of ordinary people in unconstrained scenarios. This is not a trivial task due to significant human appearance variations. In this work, we introduce trixels for clustering image regions, enumerating their advantages compared to superpixels. The classical GrabCut algorithm is later modified to segment trixels instead of pixels in an unsupervised context. Combining with face detection lead us to a clothes segmentation approach close to real time. The study uses the challenging Pascal VOC dataset for segmentation evaluation experiments. A final experiment analyzes the fusion of clothes features with state-of-the-art gender classifiers in ClothesDB, revealing a significant performance improvement in gender classification.

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Section: Triangular Superpixelsmentioning

confidence: 99%

Optimized clothes segmentation to boost gender classification in unconstrained scenarios

Freire-Obregón,

Castrillón-Santana,

Lorenzo-Navarro

2016

Preprint

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“…The first part of the TriToM creation is related to the image analysis through the DMUM (Distance Maps from Unthresholded Magnitudes) as a preprocessing step [12]. The local minimum points are placed by computing the DMUM algorithm all over the image.…”

Section: Tritom Creationmentioning

confidence: 99%

Automatic clothes segmentation for soft biometrics

Freire-Obregón

Castrillón-Santana

Ramón-Balmaseda

et al. 2014

2014 IEEE International Conference on Image Processing (ICIP)

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During the last decade, researchers have verified that clothing can provide information for gender recognition. However, before extracting features, it is necessary to segment the clothing region. We introduce a new clothes segmentation method based on the application of the GrabCut technique over a trixel mesh, obtaining very promising results for a close to real time system. Finally, the clothing features are combined with facial and head context information to outperform previous results in gender recognition with a public database.

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Computer Vision for Human-Machine Interaction-Review

Suma¹

2019

JTCSST

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The paper is a review on the computer vision that is helpful in the interaction between the human and the machines. The computer vision that is termed as the subfield of the artificial intelligence and the machine learning is capable of training the computer to visualize, interpret and respond back to the visual world in a similar way as the human vision does. Nowadays the computer vision has found its application in broader areas such as the heath care, safety security, surveillance etc. due to the progress, developments and latest innovations in the artificial intelligence, deep learning and neural networks. The paper presents the enhanced capabilities of the computer vision experienced in various applications related to the interactions between the human and machines involving the artificial intelligence, deep learning and the neural networks.

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Distance maps from unthresholded magnitudes

Cited by 4 publications

References 12 publications

Optimized clothes segmentation to boost gender classification in unconstrained scenarios

Optimized clothes segmentation to boost gender classification in unconstrained scenarios

Automatic clothes segmentation for soft biometrics

Computer Vision for Human-Machine Interaction-Review

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