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Fast 3D Face Alignment and Improved Recognition Through Pyramidal Normal map Metric
2007
Proceedings of IEEE international conference on image processing
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This paper presents an improved normal map based face recognition approach, which relies on a novel method to automatically align a captured 3D face mesh to a reference template, allowing a more precise ...
The alignment approach avoids the need for a rough or manual face pre-alignment and maximizes recognition precision, requiring a fraction of the time needed by the Iterative Closest Point (ICP) method ...
CONCLUSIONS AND ONGOING RESEARCH We presented a face recognition method based on normal map metric and improved through a face registration procedure exploiting a novel iterative pyramidal-normal-map based ...
doi:10.1109/icip.2007.4378915
dblp:conf/icip/AbateNRS07
fatcat:ah4fvnox2fg4dpcjvo47ssa7ra
ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
[article]
2020
arXiv
pre-print
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These methods either are costly for character annotation or need to maintain a complex pipeline, which is often not suitable for real-time applications. ...
Our contributions are three-fold: 1) For the first time, we adaptively fit arbitrarily-shaped text by a parameterized Bezier curve. 2) We design a novel BezierAlign layer for extracting accurate convolution ...
Acknowledgements The authors would like to thank Huawei Technologies for the donation of GPU cloud computing resources. ...
arXiv:2002.10200v2
fatcat:ef7lsgcflfaqxcqsv7rjisfazu
Spin Images and Neural Networks for Efficient Content-Based Retrieval in 3D Object Databases
[chapter]
2002
Lecture Notes in Computer Science
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We describe a system for querying 3D model databases using the spin image representation as a shape signature for objects depicted as triangular meshes. ...
The indexing schema improves significantly the efficiency in matching query spin images against those stored in the database. ...
To do so, different features are used to represent the content of a 3D object. Among them, shape is the most relevant attribute for the task of object recognition. ...
doi:10.1007/3-540-45479-9_24
fatcat:igbk77dh2fguxge4to3mcvetaq
Circularity Measuring in Linear Time
2010
2010 20th International Conference on Pattern Recognition
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We then introduce a linear algorithm that uses this measure for circularity measuring. This method can also be regarded as a method for circular object recognition. ...
We propose a new circularity measure inspired from Arkin [1], Latecki [9] tools of shape matching that is constructed in a tangent space. ...
Similarity of polygonal shapes Arkin et al. proposed a method based on L 2 distance [1] as a metric for comparing polygonal shapes. Later, Latecki et al. ...
doi:10.1109/icpr.2010.1157
dblp:conf/icpr/NguyenD10a
fatcat:3dn27yphf5cfvhd473an5vkz2q
A Content-based Image Retrieval System Based On Convex Hull Geometry
2014
Acta Polytechnica Hungarica
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Convex hull shape polygon is extracted from the database images and the coordinate values are stored in the feature library. ...
) is used. ...
We have proposed and implemented the CHAR method for efficient matching and retrieval. ...
doi:10.12700/aph.12.1.2015.1.7
fatcat:n2mdfo7ya5asdgilycreceiqdy
SPTS: Single-Point Text Spotting
[article]
2022
arXiv
pre-print
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The proposed method is simple yet effective, which can achieve state-of-the-art results on widely used benchmarks. ...
., end-to-end text detection and recognition) methods rely on costly bounding box annotations (e.g., text-line, word-level, or character-level bounding boxes). ...
of the polygonal annotations; the SPTS-Bezier adopts the original metric that matches polygon boxes. ...
arXiv:2112.07917v5
fatcat:jggdxgpsn5h3bouen6jtj2eh6a
A shape-based approach to change detection of lakes using time series remote sensing images
2003
IEEE Transactions on Geoscience and Remote Sensing
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This paper presents a procedure for efficiently retrieving and representing shapes of interesting features in remotely sensed imagery using supervised classification, object recognition, parametric contour ...
In addition, shape similarity can be measured by means of a computationally efficient metric. ...
Mitchell (Cornell University) for providing the source code for the shape similarity measure. ...
doi:10.1109/tgrs.2003.817267
fatcat:7fbz4ftapjdytckgrhodkblxcm
Taxonomy of Feature Description Attributes
[chapter]
2014
Computer Vision Metrics
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In addition, existing and novel basis features are being devised in the form of sparse codebooks and visual vocabularies (we use the term basis space loosely). • Polygon Shape Descriptors. ...
See Chapter 2 for a discussion of wavelets compared to other basis functions. • Morphological shape metrics: predominantly used in the polygon shape descriptor family, composed of shape factors, and referred ...
Note ■ the fme is intended as a template to capture high-level information for basic analysis. ...
doi:10.1007/978-1-4302-5930-5_5
fatcat:kzdhaew74zabbjgsao7s3oycwa
A novel Approach to Human Gait Recognition using possible Speed Invariant features
2014
International Journal of Computational Intelligence Systems
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Initially, all the feature points are represented as the sides of an n-sided polygon for calculating the area of each region. ...
Classification results demonstrate the ability of proposed feature extraction techniques using Bayes' classifier, distance metrics, and the proposed polynomial based distance metric. ...
Acknowledgements We owe our sincere thanks and gratitude to Prof Yasushi Yagi and his whole research team for sharing with us the valuable OU-ISIR [30] Gait database without which the work could not ...
doi:10.1080/18756891.2014.967004
fatcat:cqfdtyn7arba7apl4szzxps6ga
Scenario Driven In-depth Performance Evaluation of Document Layout Analysis Methods
2011
2011 International Conference on Document Analysis and Recognition
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It combines efficiency and accuracy by using a special interval based geometric representation of regions. ...
This paper presents an advanced framework for evaluating the performance of layout analysis methods. ...
Examples are absolute and relative region count deviation (as indicator for over-or under-segmentation) and reading order. The latter is novel in its complexity. ...
doi:10.1109/icdar.2011.282
dblp:conf/icdar/ClausnerPA11a
fatcat:zhxagyv46rbtfdcqmtmoxvujwa
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
2020
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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This work presents a novel ConvNet, "ProAlignNet," that accounts for large scale misalignments and complex transformations between the contour shapes. ...
similarity metric that uses classical Morphological Chamfer Distance Transform. ...
Acknowledgments: We thank GEOMNI (www.geomni.com) for providing the data for geo-parcel alignment application. ...
doi:10.1109/cvpr42600.2020.00969
dblp:conf/cvpr/VeeravasarapuGM20
fatcat:pba5voox2bhfrn6nenwy3xpd5a
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting
[article]
2022
arXiv
pre-print
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The proposed method reduces the tight dependency between detection and recognition modules by bridging them with a single reference point for each text instance, instead of using detected regions. ...
Since only a single point is required to recognize the text, the proposed method enables text spotting without an arbitrarily-shaped detector or bounding polygon annotations. ...
By relaxing the coupling between the detection of the text bounding polygon and the recognition of text instances, the proposed model allows for the recognition of arbitrary-shaped text instances without ...
arXiv:2203.05122v1
fatcat:4atzxtr6gfdxzbzedetttdjpgy
Research on Shape Feature Recognition of B-Rep Model Based on Wavelet Transform
2018
Mathematical Problems in Engineering
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, so the shape feature recognition of B-Rep model is worth of much studying. ...
We present one approach of shape feature recognition of B-Rep model based on the wavelet transform of surface boundary and region; it is inspired by the neuropsychology view that surface is the key visual ...
Distributed Computer Software Novel Technology. ...
doi:10.1155/2018/6310482
fatcat:qcvmkp5nvbgelcl2oveh46yooi
Interest Point Detector and Feature Descriptor Survey
[chapter]
2014
Computer Vision Metrics
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Object Shape Metrics for Blobs and Polygons Object shape metrics are powerful and yield many degrees of freedom with respect to invariance and robustness. ...
Polygon Shape Descriptors Polygon shape descriptors compute a set of shape features for an arbitrary polygon or blob, and the shape is described using statistical moments or image moments (as discussed ...
doi:10.1007/978-1-4302-5930-5_6
fatcat:3jmbq6bpivfqxaq7mcwbs5t2yy
Accurate Polygonal Mapping of Buildings in Satellite Imagery
[article]
2022
arXiv
pre-print
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For the Inria dataset, our proposed method also obtains very competitive results on the metrics of IoU and Accuracy. The models and source code are available at https://github.com/SarahwXU. ...
On the AICrowd dataset, our proposed method obtains unanimous improvements on the metrics of AP, APboundary and PoLiS. ...
The C-IoU metric considers both segmentation accuracy and polygonization complexity. ...
arXiv:2208.00609v1
fatcat:7zpzzj3c2rgh3ci3ntixtmkmfu
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