I am pleased to introduce myself as an individual who has successfully completed comprehensive training and attained certification in the field of photogrammetry.This captivating discipline offers a significant avenue for crafting intricate 3D models of ancient artifacts with unparalleled precision. Through meticulous study and hands-on experience, This expertise empowers me to faithfully capture the dimensions and distinct characteristics of historical relics, breathing new life into their representation for preservation, study, and appreciation.
Let me introduce,
what is photogrammetry?
Photogrammetry is a scientific technique and technology used to measure and create 3D models of objects and environments from photographs. It involves extracting accurate geometric information from 2D images to reconstruct the 3D structure and dimensions of the subjects depicted in those images. This is achieved by analyzing the relationships between the positions of objects in different images, using principles from geometry, mathematics, and computer vision.Photogrammetry can be applied to various fields, including archaeology, geology, architecture, engineering, film and gaming, and more. The process typically involves the following steps:
Image Acquisition: Collect a set of overlapping photographs of the subject from different angles and positions. The more images, the more accurate the reconstruction can be.
Feature Extraction: Identify distinctive points or features in the images that can be easily tracked across different photographs. These features help establish correspondence between images.
Image Matching: Determine how these features in different images relate to each other. This is often done by identifying common features between pairs of images.
Camera Calibration: Calculate the intrinsic and extrinsic parameters of the cameras used to take the images. Intrinsic parameters include the focal length and distortion characteristics, while extrinsic parameters describe the position and orientation of the camera in the 3D space.
Triangulation: Using the camera parameters and the matched features, the technique triangulates the positions of the features in 3D space.
Point Cloud Generation: The collection of 3D points obtained from triangulation forms a point cloud, which represents the shape of the object or scene.
Surface Reconstruction: Connect the points in the point cloud to create a continuous 3D surface that accurately represents the subject.
Texture Mapping: Apply the original photographs to the reconstructed 3D surface to create a realistic textured model.
Location: Department of Archaeology and Museums, Bengaluru
Mentor: Maniyarasan R (Maniyarasan Rajendran is the Coordinator at C.A.R.E Design Cell, a unit of C.A.R.E School of Architecture, Trichy. He is a Research Scholar at the Design Department, IIT Hyderabad, India, with Architectural Documentation as his core area.)
Team Members: Deep Modi and sarla vyas
Softwears used: Metashape & Meshlab
Capturing every corner of the object to get best developed textured model
Cloud Data points
Mesh 3D model
Model with 3d cloud point...which shows the from which points softwear has taken multiple point to render model.
Final Textured model
Defining cloud point data...blue gradient shows that softwear is sure and fine to develop a textured final model, green and yellow and other color gradient mention the defficiency of point cloud data, mean not sure about that corner of the actual product or object.
Object 02 that we have documented
Object 03 that we have documented
