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Hi 👋, I'm Abbas

A tech savy geek from Adana, Turkey

Abbas Elmas's Projects

aabbstr icon aabbstr

Academic site of Abbas Elmas on netlify

colmap-parameters icon colmap-parameters

Some information about parameters and options available in COLMAP - SfM & MVS software. https://colmap.github.io

comparative-study-of-detectors-descriptors-and-matching-of-points-of-interest icon comparative-study-of-detectors-descriptors-and-matching-of-points-of-interest

In this project, we tested and evaluated the performance of several most used interest point detectors such as (SIFT, AKAZE, ORB, BRISK, KAZE, FAST, STAR and MSER), several descriptors such as (SIFT, AKAZE, ORB, BRISK, KAZE, FREAK, LATCH, LUCID and BRIEF) and several matching methods such as (Brute-Force L1, Brute-Force L2 and Brute-Force HAMMING),

geocen icon geocen

Geographic Data Processing PhD course practices

glance icon glance

A self-hosted dashboard that puts all your feeds in one place

markerlessdetector icon markerlessdetector

MarkerlessDetection using homography, enabling to choose between lots of detectors, descriptors and match and homography methods (using templates from la Coupe de France de Robotique 2019)

matching-of-extremely-variant-image-pairs icon matching-of-extremely-variant-image-pairs

This repository provides the MATLAB Code (which uses MEX files of OpenCV Library) for Matching 10 Extremely Variant Image Pairs. This code was used for experiments in the research paper entitles: "Potential of SIFT, SURF, KAZE, AKAZE, ORB, BRISK, AGAST, and 7 More Algorithms for Matching Extremely Variant Image Pairs".

nodecm icon nodecm

GPU-enabled photogrammetry pipeline to generate point clouds, orthophotos and elevation models from aerial images using COLMAP.

notebooks icon notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

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