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  1. GitHub - NorhanM-A/Shape-Detection-with-YOLO: Shape Detection

    Shape Detection with YOLO: A computer vision project that employs YOLO, a state-of-the-art deep learning framework, to accurately identify and locate various geometric shapes in …

  2. 2D and 3D object detection algorithms from images: A Survey

    Sep 1, 2023 · The 2D object detection algorithms are divided into three categories: Anchor-based, Anchor-free, and Transformer-based. The 3D object detection algorithms are divided into four …

  3. Building a 3D Object Recognition Algorithm: A Step-by-Step Guide

    Unlike traditional 2D object detection, which identifies objects within images or videos, 3D object detection aims to locate and classify objects in a 3D space, providing information about their …

  4. Joint stereo 3D object detection and implicit surface ... - Nature

    Jun 17, 2024 · Given a pair of stereo RGB images, S-3D-RCNN can detect 3D objects and predict implicit rigid shapes with one forward pass. (a) Alpha-blended image pair to show the …

  5. Trintan/Recognizing-shapes-in-Images-with-open-CV

    "Shape Recognition in Images with OpenCV" is an innovative project , that focuses on utilizing the powerful OpenCV library to detect and identify various shapes present in images. This project …

  6. shape-detection · GitHub Topics · GitHub

    Nov 18, 2022 · Detect the shape of drawing objects (classes - line, triangle, rectangle, pentagon, Hexagon, circle) and draw in Augmented Reality. Python OpenCV Projects and Notes. …

  7. In this paper, we propose to use depth maps for object detection and de-sign a 3D detector to overcome the major difficulties for recognition, namely the variations of texture, illumination, …

  8. Finding a non-rigid object in an image. Learning a non-rigid shape model from examples. Shape grammar for modeling generic objects. Consider two-dimensional objects with piecewise …

  9. 3D Shape Detection System - Medium

    Jun 27, 2021 · In this article, a notebook is presented which contains the development of a system that detects four types of 3D shapes — Cube, Cylinder, Spheroid and Sphere.

  10. In this paper we suggested new algorithm to detect the shape(s) in an image, also the algorithm recognize the type of shape(s).

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