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A study on image-processing based identification of aspect ratio of coarse aggregate
2019
MATEC Web of Conferences
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In this paper, an image-processing based method is proposed to detect the aspect ratio of a polygonal aggregate. The procedure and used algorithms are demonstrated in detail. ...
As an application, totally about 1000 coarse aggregates from the Xinjiang, China are selected to identify the aspect ratio. ...
Some images of the selected aggregates are shown in Fig. 2. Fig. 2 . Images of selected aggregates. ...
doi:10.1051/matecconf/201927502007
fatcat:46pjxmqy7nhfhlky34zodgzv5m
Fast-At: Fast Automatic Thumbnail Generation Using Deep Neural Networks
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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It is a fully-convolutional deep neural network, which learns specific filters for thumbnails of different sizes and aspect ratios. ...
The model generalizes to thumbnails of different sizes including those with extreme aspect ratios and can generate thumbnails in real time. ...
The appropriate filter is decided based on the thumbnail aspect ratio.
Figure 5 . 5 R-FCN and Fast-AT predictions on test set images. ...
doi:10.1109/cvpr.2017.445
dblp:conf/cvpr/EsmaeiliSD17
fatcat:mrj2v7q4uffnfo7z2iieg6g2wi
Fast-AT: Fast Automatic Thumbnail Generation using Deep Neural Networks
[article]
2017
arXiv
pre-print
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It is a fully-convolutional deep neural network, which learns specific filters for thumbnails of different sizes and aspect ratios. ...
The model generalizes to thumbnails of different sizes including those with extreme aspect ratios and can generate thumbnails in real time. ...
The appropriate filter is decided based on the thumbnail aspect ratio.
Figure 5 . 5 R-FCN and Fast-AT predictions on test set images. ...
arXiv:1612.04811v2
fatcat:ndgajbj4zjhulp3tmd4k2mgq4i
Feature Selective Networks for Object Detection
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
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Our network produces the sub-region attention bank and aspect ratio attention bank for the whole image. ...
The RoI-based sub-region attention map and aspect ratio attention map are selectively pooled from the banks, and then used to refine the original RoI features for RoI classification. ...
For the RoIs of different aspect ratios, the aspect ratio attention map also produces distinct feature attentions. entire image. ...
doi:10.1109/cvpr.2018.00435
dblp:conf/cvpr/ZhaiF0L18
fatcat:7xtlg57kzrd23pkbzhwhfsfuxy
Feature Selective Networks for Object Detection
[article]
2017
arXiv
pre-print
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Our network produces the sub-region attention bank and aspect ratio attention bank for the whole image. ...
The RoI-based sub-region attention map and aspect ratio attention map are selectively pooled from the banks, and then used to refine the original RoI features for RoI classification. ...
Based on the detailed sub-region and aspect ratio information, distinctive attention maps are selected for each RoI and used to refine the original compacted RoI features. ...
arXiv:1711.08879v1
fatcat:pbcujnrc2bbyvpu6ueb4zrmt7u
Design Analysis of a High-Resolution Panoramic Camera Using Conventional Imagers and a Mirror Pyramid
2007
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Wide field of view (FOV) and high-resolution image acquisition is highly desirable in many vision-based applications. ...
Using a dual mirror pyramid (DMP) panoramic camera as an example, in this paper, we examine how the pyramid geometry, and the selection and placement of imager clusters can be optimized to maximize the ...
Imager orientation plays a critical role in affecting the aspect ratio and the aspect ratio is maximized at T ¼ 1 =2. ...
doi:10.1109/tpami.2007.33
pmid:17170487
fatcat:wurrx4zf5vfyjjde6o3rab4kby
A2S-Det: Efficiency Anchor Matching in Aerial Image Oriented Object Detection
2020
Remote Sensing
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Object detection is a challenging task in aerial images, where many objects have large aspect ratios and are densely arranged. ...
In this study, we propose an anchor selection method based on sample balance assigning anchors adaptively, which we name the Self-Adaptive Anchor Selection (A2S-Det) method. ...
Unlike natural images, objects in aerial images may be densely arranged, in any direction and with large aspect ratios, which make it very challenging to precisely detect objects in aerial images. ...
doi:10.3390/rs13010073
fatcat:ixiqedig4fcdnfmqedanghm4r4
Slot Based Image Augmentation System for Object Detection
[article]
2019
arXiv
pre-print
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As the intrinsic feature of data-driven in deep learning, the first approach is "slot-based image augmentation" to enrich the dataset with extra foreground and background combinations. ...
This proposed augmentation system has extra flexibility adapting to various scenarios and the performance-driven analysis provides an alternative aspect of conducting image augmentation ...
Among those attributes, the instance area size, aspect ratio and category are applied as the filters to select candidates for slot substitution, in which the area size and aspect ratio are calculated in ...
arXiv:1907.12900v1
fatcat:4jx5ouk22fhstpto6exgxcxsd4
Learning to Learn Cropping Models for Different Aspect Ratio Requirements
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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In this paper, we propose a meta-learning (learning to learn) based aspect ratio specified image cropping method called Mars, which can generate cropping results of different expected aspect ratios. ...
Specifically, the two meta-learners predict the parameters of the base model based on the given aspect ratio. ...
First, we select N aspect ratios, each with a corresponding embedding vector. The set of selected aspect ratios is denoted as S τ , and the corresponding set of embedding vectors is S emb . ...
doi:10.1109/cvpr42600.2020.01270
dblp:conf/cvpr/LiZH20
fatcat:jworwmht45hehbueakfyggnwqi
Page 469 of SMPTE Motion Imaging Journal Vol. 105, Issue 8
[page]
1996
SMPTE Motion Imaging Journal
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The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
Eisenstein went on to point out that cin- ema is based on dynamics.”
It is easy to see why a dynamic image medium may elicit different aspect ratio preferences from those of a static image medium. ...
Dynamic Image Aspect Ratio Preferences
It has been stated that there is a pref- erence for wider aspect ratios in mov- ing image media, even if that means sacrificing resolution.” ...
PicWall: Photo collage on-the-fly
2013
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
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Given the expected canvas sizes, it tightly packs the input images while keeping their aspect ratios and orientations unchanged. ...
Besides, various PicWall-based applications are also demonstrated. I. 4 JP Manga Reading Order Fig. 13 JP manga reading order V.S. general cartoon reading order. ...
<leaf node> : select one image i from set L. The aspect ratio of i should best fit the arexp <leaf node> : select two image i, j from set L. ...
doi:10.1109/apsipa.2013.6694305
dblp:conf/apsipa/WuA13
fatcat:diw2s2u7mbfa3fdjiz264wopnu
Shape Oriented Feature Selection for Tomato Plant Identification
2013
International Journal of Computer Applications Technology and Research
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By applying digital image processing techniques, tomato leaf and fruit images were pre-processed and morphological shape based features were computed. ...
Next, supervised filter and wrapper based feature selection techniques were adopted to choose the optimal feature set leading to small within-class variance and large among-class distance which may be ...
Perimeter Ratio
Narrow Factor
Linear Forward Floating Selection
Aspect Ratio
Perimeter Ratio
Narrow Factor
Figure 11 -Most relevant features selected for Tomato
Leaf/Fruiting Habit Data ...
doi:10.7753/ijcatr0204.1011
fatcat:lrdpekehojbcrfbdfhlma7lney
Indexing, Learning and Content-Based Retrieval for Special Purpose Image Databases
[chapter]
2005
Advances in Computers
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purpose image databases ...
C e n t r u m v o o r W i s k u n d e e n I n f o r m a t i c a PNA Probability, Networks and Algorithms Probability, Networks and Algorithms Indexing, learning and content-based retrieval for special ...
Given that an aspect is relevant, we expect that a few, sayÑ + , of the n + selected positive images have been chosen based to some extent on this aspect. ...
doi:10.1016/s0065-2458(05)65005-x
fatcat:qdnxzbdaozbdxavfkvo5yui5ra
Robust Character Recognition Using Adaptive Feature Extraction Method
2010
IEICE transactions on information and systems
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This estimation enables us to compensate the aspect ratio associated with shape and the degradation in feature values and so obtain higher recognition accuracy. ...
This paper describes an adaptive feature extraction method that exploits category-specific information to overcome both image degradation and deformation in character recognition. ...
In addition, although geometric features are more robust against deformation than image-based template matching, they are not invariant for deformation such as aspect ratio fluctuation and stroke position ...
doi:10.1587/transinf.e93.d.125
fatcat:t2nvwjowunfl5oi47vplncpbqa
Creation and luminescence of size-selected gold nanorods
2012
Nanoscale
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In this work, we produce stable size-selected gold nanorods (aspect ratio 1-2) using a size-selected cluster source and correlate their luminescence behaviour with the particle shape. ...
Thermodynamic modelling is used to predict the preferred aspect ratio of 1.5, in agreement with the observations, and confirms that the double-icosahedron observed in experiments is significantly lower ...
The particle number reduces with the increase in the aspect ratio; nevertheless, elongated particles with aspect ratio larger than 2 are observed. ...
doi:10.1039/c2nr30324h
pmid:22766744
fatcat:isky4qwgmveyzbrw4qdjexgetm
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