sift-descriptors 开源项目推荐（78 个）

Avinash793 /panoramic-image-stitching

利用给定重叠图像集合中的不变特征创建全景图像。

adumrewal /SIFTImageSimilarity

Interactive code for image similarity using SIFT algorithm

quqixun /ImageRegistration

A demo that implement image registration by matching SIFT descriptors and appling RANSAC and affine transformation.

robertwgh /ezSIFT

ezSIFT: An easy-to-use standalone SIFT library written in C/C++

Baticsute /Facial_Expression_Recognition_FER2013

Images and Videos, Real-time Facial Expession Recognition Application with Combine CNN , deep learning features extraction incorporate SIFT, FAST feature .

siddharthtelang /SfM

3D scene reconstruction and camera pose estimation given images from different views (Structure from Motion)

magesh-technovator /feature-matching-opencv-python

Image key points Extraction, Description, Feature Matching

pareespathak /visual_odometry

Visual Odometry

wlzhao22 /lip-vireo

The C++ project for traditional image keypoint detectors and descriptors

melanie-t /ransac-panorama-stitch

Stitch images into a panorama using SIFT and RANSAC algorithms

lionelmessi6410 /Panorama-Stitching

Create a panorama stitching image based on multiple images.

defi0x1 /Classification-SIFT-SVM

Build a classifier to classify transport using sift and svm

vineet0814 /Image-Stitching-using-SIFT-and-ORB-feature-descriptors

This contains implementation of image stitching of three images to form a panorama using SIFT and ORB feature descriptors

Abel-Huang /simple-classifier

Python image classify based on SVM

hiennguyen9874 /assignment2-image-processing

Local Feature Matching

AlexisDrch /Computer-Vision

Computer Vision @gtech MSCS

nvinayvarma189 /Digital-Image-Processing

The assignments and projects on Digital Image Processing

Sid2697 /Beer-Label-Classification

Code for beer label classification using SIFT and ORB

nvinayvarma189 /Specific-object-recognition

When given different views of an object as input, it can tell us if that specific object is present in a larger picture or not.

yazanmaalla /stereo-vision

stereo vision: estimate 3D vision depending on information extracted from 2D-images. 1)Feature extract, using SIFT algorithm. 2)Matching, using KNN algorithm. 3)Compute "Fundamental Matrix", using RANSAC algorithm. 4)Reconstruction. 5)Triangulation. 6)Pose disambiguation. 7)Rectification. 8)Disparity Computing.