A survey of orthogonal moments for image representation: Theory, implementation, and evaluation
Image representation is an important topic in computer vision and pattern recognition. It
plays a fundamental role in a range of applications toward understanding visual contents …
plays a fundamental role in a range of applications toward understanding visual contents …
Sacreg: Scene-agnostic coordinate regression for visual localization
Scene coordinates regression (SCR) ie predicting 3D coordinates for every pixel of a given
image has recently shown promising potential. However existing methods remain limited to …
image has recently shown promising potential. However existing methods remain limited to …
Image analysis by fractional-order weighted spherical Bessel-Fourier moments
Moment and moment invariants as effective feature descriptors have been widely applied in
image analysis, pattern recognition and computer vision applications. Scholars have …
image analysis, pattern recognition and computer vision applications. Scholars have …
Quaternion Zernike moments and their invariants for color image analysis and object recognition
BJ Chen, HZ Shu, H Zhang, G Chen, C Toumoulin… - Signal processing, 2012 - Elsevier
Moments and moment invariants have become a powerful tool in pattern recognition and
image analysis. Conventional methods to deal with color images are based on RGB …
image analysis. Conventional methods to deal with color images are based on RGB …
Accurate iris recognition at a distance using stabilized iris encoding and Zernike moments phase features
CW Tan, A Kumar - IEEE Transactions on image processing, 2014 - ieeexplore.ieee.org
Accurate iris recognition from the distantly acquired face or eye images requires
development of effective strategies, which can account for significant variations in the …
development of effective strategies, which can account for significant variations in the …
A comparison of methods for sketch-based 3D shape retrieval
Sketch-based 3D shape retrieval has become an important research topic in content-based
3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) …
3D object retrieval. To foster this research area, two Shape Retrieval Contest (SHREC) …
Plant disease recognition using fractional-order Zernike moments and SVM classifier
Orthogonal moments are the projections of image functions onto particular kernel functions.
They play vital role in digital image feature extraction being rotation, scaling, translation …
They play vital role in digital image feature extraction being rotation, scaling, translation …
A system to detect rooms in architectural floor plan images
In this article, a system to detect rooms in architectural floor plan images is described. We
first present a primitive extraction algorithm for line detection. It is based on an original …
first present a primitive extraction algorithm for line detection. It is based on an original …
Image analysis by Bessel–Fourier moments
B **ao, JF Ma, X Wang - Pattern Recognition, 2010 - Elsevier
In this paper, we proposed a new set of moments based on the Bessel function of the first
kind, named Bessel–Fourier moments (BFMs), which are more suitable than orthogonal …
kind, named Bessel–Fourier moments (BFMs), which are more suitable than orthogonal …
A survey on rotation invariance of orthogonal moments and transforms
The theory of moments and transforms is well established and widely applied to a number of
computer vision, pattern recognition and image processing applications. A sub-class of …
computer vision, pattern recognition and image processing applications. A sub-class of …