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The Descriptiveness of Feature Descriptors with Reduced Dimensionality
2021Nowadays, depth data has an important role in many applications. The sensors which can capture depth data became essential parts of autonomous vehicles. These sensors record a huge amount of 3D data (point clouds with x, y, and z coordinates). Furthermore, for many point cloud processing applications, it is important to calculate feature vectors that ...
Sándor Laki +2 more
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A novel feature descriptor for image retrieval
2009 Digest of Technical Papers International Conference on Consumer Electronics, 2009This paper proposes a new color feature descriptor using double color histogram and color changing ratio for image retrieval. Specifically, a pre-processing is conducted on a given image for reducing the noise and data size dealt with. Next, the given color image is divided into fragment and particle regions according to color coherency.
S.-K. Lee +3 more
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Using affine features for an efficient binary feature descriptor
2014 Southwest Symposium on Image Analysis and Interpretation, 2014A feature descriptor that is robust to a number of image deformations is a basic requirement for vision based applications. Most feature descriptors work well in image deformations such as compression artifacts, illumination changes, and blurring. To develop a feature descriptor that works well apart from these image deformations like transformations ...
Craig Wilson, Alok Desai, Dah-Jye Lee
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Matching Affine Features with the SYBA Feature Descriptor
2014Many vision-based applications require a robust feature descriptor that works well with image deformations such as compression, illumination, and blurring. It remains a challenge for a feature descriptor to work well with image deformation caused by viewpoint change.
Dah-Jye Lee, Dan Ventura, Alok Desai
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Harris feature vector descriptor (HFVD)
2008 19th International Conference on Pattern Recognition, 2008A new image feature called Harris feature vector is defined in this paper, which effectively describes the image gradient distribution. By computing the mean and the standard deviation of the Harris feature vector in key point neighborhood, a novel descriptor for key points matching is constructed, which is invariant to image rigid transformation and ...
Zhaoliang Wang, Xuren Wang, Fengli Wu
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Robust synthetic basis feature descriptor
2017 IEEE International Conference on Image Processing (ICIP), 2017Feature detection and matching is an important step in many object detection and tracking algorithms. This paper discusses methods to improve upon our previous work on the SYnthetic BAsis feature descriptor (SYBA) algorithm, which describes and compares image features in an efficient and discrete manner. SYBA utilizes synthetic basis images overlaid on
Alok Desai +2 more
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Feature detectors and descriptors for fisher vectors
2015 IEEE 5th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2015Visual search and classification applications often use local features for image representation and description. Various detectors and descriptors have been developed for extracting these features. The local descriptors can be aggregated into a global image signature for a more compact representation.
Iris Heisterklaus, Philipp Gräbel
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Binary Feature Descriptor for Omnidirectional Images Processing
Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication, 2015An omnidirectional image has a 360° view around a viewpoint and which could be applied in a variety of fields, such as autonomous navigation, surveillance systems, virtual reality and remote monitoring, is presented. Many techniques of digital image processing rely on local descriptors to characterize the scene information around interest points (or ...
Benseddik, Houssem-Eddine +3 more
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A New Feature Descriptor for Image Denoising
Iranian Journal of Science and Technology, Transactions A: Science, 2020One of the fundamental problems in the field of image processing is denoising. The underlying goal of image denoising is to effectively suppress noise while keeping intact the significant features of the image, such as texture and edge information. The gradient of image is a famous feature descriptor in denoising models to distinguish edges and ramps ...
Neda Mohamadi +2 more
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Feature Identities, Descriptors, and Handles
1999Finding the “right” geographic feature is a common source of interoperability difficulties. This paper reviews the issues and discusses how persistent feature identifiers can be used to support relationships and incremental updating in dispersed inter-operating information systems. Using such identifiers requires common definitions for concepts such as
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