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3d-shape-matching

A Matlab implementation of the paper "geodesic distance descriptors" for 3D non-rigid shape correspondence.

abu

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

active-contour-snake-implementation

adjointfmaps

Implementation of paper 'Adjoint Map Representation for Shape Analysis and Matching'.

ai-lesson

basic-single-module-ssm

为了方便以后的一些问题的讲解特地准备一个最精简的 SpringMVC+Spring+Mybatis 框架整合，方便以后的一些问题的演示

bcf

Xinggang Wang, Bin Feng, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Bag of Contour Fragments for Robust Shape Classification. Pattern Recognition, Volume 47, Issue 6, June 2014, Pages 2116-2125.

bscp

Shape recognition based on the combination of contour and skeleton (codes for our paper on PRL2016)

categoryshapes

Code for "Category-Specific Object Reconstruction from a Single Image" CVPR 2015.

coloring-contours-of-objects

Function returns picture of objects'contours colored randomly if they are placed in the uniform background and don't touch picture's border

contour-tree

Topological Data Analysis using Contour Trees

copytranslator

Foreign language reading and translation assistant based on copy and translate.

cs224n

curvature-scale-space-for-sketch-recognition

CSS implementation for sketch recognition

curved_shape_representation

Deformation based curved shape representation, similarity metric, shape modelling and geodesic deformation of curves

deep-learning-for-beginners

Code Examples of "Deep Learning for Beginners"

deep-visualization-toolbox

DeepVis Toolbox

deepcontour

The testing code for deep contour detector

des

Differential Evolutionary Superpixel Segmentation

ear-recognition-system-using-chainlets-for-personal-identification

The stable biometric nature of the ear has led to an interest in ear recognition. The advantages of fixed shape and complex but stable appearance of makes it a potentially reliable biometric. We proposed the use of CHAINLETS using Deep Contour-based edge detection as a novel ear descriptor. CHAINLETS supports patches of Histogram of Chain Code to describe an ear and support accurate biometric ear matching. These descriptors significantly outperform existing feature sets for human ear recognition. Our study of the existing edge boundary and Chain Code based descriptors played a significant part in determining the direction of ear edges, especially when applied on patches of an ear. We performed an extensive evaluation using highquality local contrast normalization in overlapping descriptor blocks and the similarity distances for matching on new Unconstrained Ear Recognition Challenge dataset from the University of Ljubljana, Slovenia. The experimental results show that the novel CHAINLETS approach achieves higher recognition performance than the state-of-the-art algorithms.

entity

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

fast-quadric-mesh-simplification

Mesh triangle reduction using quadrics

fastsam

Fast Segment Anything

flag_shapelets

Implementation of AAAI 2016 paper Efficient Learning of Timeseries Shapelets

fourier-descriptor-classification

Use Fourier Descriptors of closed contours as features for shape classification

fourier-shape-recognition

Shape Recognition using Fourier Transforms and Mutual Information

geometric-active-contour-toolbox

My implementation of several Geometric Active Contour methods in Matlab.

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

helix_theory

螺旋论（theory of helix）—— “熵减机理论（可用来构建AGI、复杂性系统等）”

hfs

HFS: Hierarchical Feature Selection for Efficient Image Segmentation