DBSMOTE: density-based synthetic minority over-sampling technique
A dataset exhibits the class imbalance problem when a target class has a very small number
of instances relative to other classes. A trivial classifier typically fails to detect a minority …
of instances relative to other classes. A trivial classifier typically fails to detect a minority …
Path similarity skeleton graph matching
X Bai, LJ Latecki - IEEE transactions on pattern analysis and …, 2008 - ieeexplore.ieee.org
This paper proposes a novel graph matching algorithm and applies it to shape recognition
based on object silhouettes. The main idea is to match skeleton graphs by comparing the …
based on object silhouettes. The main idea is to match skeleton graphs by comparing the …
[PDF][PDF] 形状匹配方法研究与展望
周瑜, 刘俊涛, 白翔 - 自动化学报, 2012 - aas.net.cn
摘要形状匹配及分类是计算机视觉中的重要问题. 近年来, 以形状上下文为代表的基于轮廓的
形状匹配方法和以奇点图为代表的基于骨架的形状匹配方法获得了长足的发展 …
形状匹配方法和以奇点图为代表的基于骨架的形状匹配方法获得了长足的发展 …
Skeleton growing and pruning with bending potential ratio
We propose a novel significance measure for skeleton pruning, called bending potential
ratio (BPR), in which the decision regarding whether a skeletal branch should be pruned or …
ratio (BPR), in which the decision regarding whether a skeletal branch should be pruned or …
[HTML][HTML] Segmentation of body parts of cows in RGB-depth images based on template matching
N Jia, G Kootstra, PG Koerkamp, Z Shi, S Du - Computers and Electronics in …, 2021 - Elsevier
Body cleanliness is considered an important indicator for evaluating cow welfare. At present,
assessing the cleanliness of different cow body parts is considered as a subjective and labor …
assessing the cleanliness of different cow body parts is considered as a subjective and labor …
Shape classification using complex network and multi-scale fractal dimension
Shape provides one of the most relevant information about an object. This makes shape one
of the most important visual attributes used to characterize objects. This paper introduces a …
of the most important visual attributes used to characterize objects. This paper introduces a …
A survey of 2D shape representation: Methods, evaluations, and future research directions
L Kurnianggoro, KH Jo - Neurocomputing, 2018 - Elsevier
In the past few years, the research studies in image-based shape representation have been
proliferating due to its usefulness and importance for various application. This field has been …
proliferating due to its usefulness and importance for various application. This field has been …
Medial spectral coordinates for 3D shape analysis
In recent years there has been a resurgence of interest in our community in the shape
analysis of 3D objects represented by surface meshes, their voxelized interiors, or surface …
analysis of 3D objects represented by surface meshes, their voxelized interiors, or surface …
Randomized neural network based descriptors for shape classification
Shape analysis is a very important field in computer vision. This work presents a novel and
highly discriminative shape analysis method based on the weights of a Randomized Neural …
highly discriminative shape analysis method based on the weights of a Randomized Neural …
[图书][B] Flux graphs for 2D shape analysis
M Rezanejad, K Siddiqi - 2013 - Springer
We consider a method for computing skeletal representations based on the average
outward flux through a shrinking region, of the gradient of the Euclidean distance function to …
outward flux through a shrinking region, of the gradient of the Euclidean distance function to …