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3D Geometric Scale Variability in Range Images: Features and Descriptors

Prabin Bariya, John Novatnack, Gabriel Schwartz, Ko Nishino
2012 International Journal of Computer Vision  
of range images and 3D object recognition in highly cluttered range image scenes.  ...  In this paper we present a comprehensive framework for exploiting this 3D geometric scale variability in range images that provides rich information for characterizing the overall geometry.  ...  For instance, in a human face, both the tip of the nose and dimples are discriminative geometric features suitable for representing the underlying surface.  ... 
doi:10.1007/s11263-012-0526-7 fatcat:tc4huygzcfb4bebtwjev6f6yju

A Resilient Image Matching Method with an Affine Invariant Feature Detector and Descriptor [article]

Biao Zhao, Shigang Yue
2017 arXiv   pre-print
In this paper we propose a novel image feature matching algorithm, integrating our previous proposed Affine Invariant Feature Detector (AIFD) and new proposed Affine Invariant Feature Descriptor (AIFDd  ...  Resilience of image feature matching to large view point changes is challenging for a lot of applications such as 3D object reconstruction, object recognition and navigation, etc, which need accurate and  ...  Based on a more general image representation structure, this feature detector and descriptor is more capable of representing the features at extreme view points and can be matched under variable geometry  ... 
arXiv:1802.09623v1 fatcat:ptb6uujzhvclhdmb7e5ewknlri

Feature detector and descriptor evaluation in human action recognition

Ling Shao, Riccardo Mattivi
2010 Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10  
In this paper, we evaluate and compare different feature detection and feature description methods for part-based approaches in human action recognition.  ...  We also compare and evaluate different descriptors such as Gradient [18], HOG-HOF [22], 3D SIFT [24] and an enhanced version of LBP-TOP [15] .  ...  The challenge is how to obtain robust action recognition under variable illumination, background changes, camera motion and zooming, viewpoint changes, partial occlusions, geometric and photometric variations  ... 
doi:10.1145/1816041.1816111 dblp:conf/civr/ShaoM10 fatcat:ek2xbzzlrzdztaazl2ldb4f6ru

Scale-Invariant Features and Polar Descriptors in Omnidirectional Imaging

Z. Arican, P. Frossard
2012 IEEE Transactions on Image Processing  
We propose a method to compute scale invariant features in omnidirectional images.  ...  We also present a new descriptor and feature matching solution for omnidirectional images.  ...  Finally, the position of the feature point is refined to a sub-pixel level by fitting a 3D quadratic function to the pixel position and scale.  ... 
doi:10.1109/tip.2012.2185937 pmid:22287239 fatcat:7bjvseuxm5h4xeyqr5xm6pz7i4

Interest Point Detector and Feature Descriptor Survey [chapter]

Scott Krig
2014 Computer Vision Metrics  
Summary In this chapter we surveyed a wide range of local interest point detectors and feature descriptor methods to learn 'what' practitioners are doing, including both 2D and 3D methods.  ...  A set of training images is used to generate a set of PHOG descriptor variables for a class of images, such as cars or people.  ... 
doi:10.1007/978-1-4302-5930-5_6 fatcat:3jmbq6bpivfqxaq7mcwbs5t2yy

Depth Data and Fusion of Feature Descriptors for Static Gesture Recognition

Prachi Sharma, R S Anand
2020 IET Image Processing  
The features extracted from the segmented hand are geometrical, local binary patterns, number of fingers (Num) raised in a gesture and distance of hand palm centre from the fingertips and the valley between  ...  and extraction of features in the complex background which results in non-dependency on too many cues and much hardware.  ...  Acknowledgments The authors are thankful to the Ministry of Human Resource Development (MHRD), Government of India, India, for financial support in pursuing the proposed work.  ... 
doi:10.1049/iet-ipr.2019.0230 fatcat:b3oh5mxsnjcadotvnlx65tsjum

Deformation and illumination invariant feature point descriptor

Francesc Moreno-Noguer
2011 CVPR 2011  
In order to build the descriptor, 2D image patches are embedded as 3D surfaces, by multiplying the intensity level by an arbitrarily large and constant weight that favors anisotropic diffusion and retains  ...  In this paper, we introduce a new framework that allows using these kernels on 2D local patches, yielding a novel feature point descriptor that is both invariant to non-rigid image deformations and illumination  ...  Introduction Building invariant region descriptors is a major topic of research in computer vision with a wide range of applications in areas of object recognition and 3D reconstruction.  ... 
doi:10.1109/cvpr.2011.5995529 dblp:conf/cvpr/Moreno-Noguer11 fatcat:xlt5gxktmbgibcpx6uzx4wbnfi

Multiscale Texture Analysis and Color Coherence Vector Based Feature Descriptor for Multispectral Image Retrieval

Devulapalli Sudheer, Rajakumar Krishnan
2019 Advances in Science, Technology and Engineering Systems  
In this paper, we propose a feature descriptor which combines the color coherent pixel information and GLCM texture features in multi scale domain.  ...  Development of feature extraction technique is a major portion to represent the image content in an optimal way.  ...  Gholamreza Akbarizadeh, et.al (2012) have proposed Kurtosis wavelet energy feature for the texture recognition in SAR images [19] . 3D DWT is suitable for extracting structure and texture information  ... 
doi:10.25046/aj040634 fatcat:elllei6nfvaurdxkvy2uiy36pe

Illumination-robust and Anti-blur Feature Descriptors for Image Matching in Abdomen Reconstruction

Huan Liu, Ying Xiao, Wei-Dong Tang, Yan-Hui Zhou
2014 International Journal of Automation and Computing  
For the purpose of recovering the abdomen completely and accurately under the condition of actual photographing with illumination variance and blur noise, some innovative combined feature descriptors are  ...  Consequently, the sector entropy which denotes the structure characteristics is drawn into the feature descriptor.  ...  From the geometric point of view, their descriptors are invariant to translation only.  ... 
doi:10.1007/s11633-014-0829-y fatcat:nsqo2xb35jh2hje7iyjky2zqau

Image Recognition from Face Feature Descriptor Using Counter Propagation Neural Network

K. Anandhi
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Then, this project concatenates these features into a feature vector, and it is used as a face descriptor.  ...  The image processing techniques have been used to divide the face into several regions, and extract the distribution of the CPMN features from them.  ...  Recognition algorithms can divide into two main approaches, geometric, which looks at distinguishing features or photometric, which is a statistical approach that distills an image into values and correlate  ... 
doi:10.23956/ijarcsse/sv7i5/0105 fatcat:nhtlbh7renhorp2fptqwrfhlxu

MOTIF: MULTI-ORIENTATION TENSOR INDEX FEATURE DESCRIPTOR FOR SAR-OPTICAL IMAGE REGISTRATION

Y. Yao, B. Zhang, Y. Wan, Y. Zhang
2022 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
construct the feature vector descriptors.  ...  images, and achieves high precision and efficiency in image registration.  ...  This part focuses on the construction of MoTIF descriptors to mainly address geometric deformations, non-linear radiation differences and speckle noise inherent in SAR images.  ... 
doi:10.5194/isprs-archives-xliii-b2-2022-99-2022 fatcat:ingpyt5uung3bhpek5kyv42afy

A novel feature descriptor for automatic change detection in remote sensing images

C.P. Dalmiya, N. Santhi, B. Sathyabama
2018 Egyptian Journal of Remote Sensing and Space Sciences  
The dimensionality of the feature vector is reduced using Linear Discriminant Analysis (LDA) to form SPCH-LDA descriptor which leads to be more robust for image scale variations.  ...  Automatic change detection has expected increasing interest for researchers in recent years on highspatial resolution remote sensing system where multispectral, multi-resolution and multimodal images can  ...  Proposed SPCH descriptor for feature extraction SPCH descriptor depicted in Fig. 2 is a novel structural feature descriptor for extracting the corners and edge features of the remote sensing images for  ... 
doi:10.1016/j.ejrs.2018.03.005 fatcat:2hdltv2weba2zbs7zncpvfpjim

3D Texture Feature Extraction and Classification Using GLCM and LBP-Based Descriptors

Stefania Barburiceanu, Romulus Terebes, Serban Meza
2021 Applied Sciences  
This leads to a great interest regarding 3D image feature extraction and classification techniques.  ...  As pointed out in literature, one of the most important and discriminative features in images is the textural content.  ...  The discrimination power is gained by descriptors that provide low intra-class variability and high variability between different classes [4] .  ... 
doi:10.3390/app11052332 doaj:e30fcd6bcf36473abbe35ba5f61314e0 fatcat:sdyqucblfnevdaoexudgne6gt4

Automated Pulmonary Lung Nodule Detection Using an Optimal Manifold Statistical Based Feature Descriptor and SVM Classifier

Ammi Reddy Pulagam, Venkata Krıshna Rao Ede, Ramesh Babu Inampudi
2017 Journal of Biomedical Engineering and Medical Imaging  
Finally, a set of 2D and 3D features are extracted from the nodule candidates, and then the system is trained by employing support vector machines (SVM) to classify the nodules and non-nodules.  ...  In this paper, an automated lung nodule detection system using a feature descriptor based on optimal manifold statistical thresholding to segment lung nodules in Computed Tomography (CT) scans is presented  ...  The 2-D geometric features are extracted in the following manner: 1.  ... 
doi:10.14738/jbemi.43.3354 fatcat:tys5ta5awzfsxnz27t3g2bsh5i

SURFTrac: Efficient tracking and continuous object recognition using local feature descriptors

Duy-Nguyen Ta, Wei-Chao Chen, Natasha Gelfand, Kari Pulli
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
Instead of performing tracking in 2D images, we search and match candidate features in local neighborhoods inside the 3D image pyramid without computing their feature descriptors.  ...  We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest points inside of the scale space  ...  Acknowledgments: The authors would like to thank Ming-Hsuan Yang, Jana Kosecka, and Radek Grzeszczuk for their useful comments and suggestions.  ... 
doi:10.1109/cvpr.2009.5206831 dblp:conf/cvpr/TaCGP09 fatcat:aebch23kyfbrridv6wkvi7uhnu
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