Real Time Incremental Image Mosaicking Without Use of Any Camera Parameter
Suleyman Melih Portakal, Ahmet Alp Kindiroglu, Mahiye Uluyagmur Ozturk

TL;DR
This paper introduces a UAV-based system for real-time incremental image mosaicking that operates without requiring camera orientation data or additional sensors, using feature matching and edge detection for high-quality results.
Contribution
The novel approach eliminates the need for camera parameters in real-time UAV image mosaicking, simplifying deployment and reducing dependency on extra sensors.
Findings
Successful real-time mosaicking without camera parameters
High-quality mosaics achieved through feature matching and edge detection
System suitable for fast-response UAV missions like search and rescue
Abstract
Over the past decade, there has been a significant increase in the use of Unmanned Aerial Vehicles (UAVs) to support a wide variety of missions, such as remote surveillance, vehicle tracking, and object detection. For problems involving processing of areas larger than a single image, the mosaicking of UAV imagery is a necessary step. Real-time image mosaicking is used for missions that requires fast response like search and rescue missions. It typically requires information from additional sensors, such as Global Position System (GPS) and Inertial Measurement Unit (IMU), to facilitate direct orientation, or 3D reconstruction approaches to recover the camera poses. This paper proposes a UAV-based system for real-time creation of incremental mosaics which does not require either direct or indirect camera parameters such as orientation information. Inspired by previous approaches, in the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Robotics and Sensor-Based Localization · Advanced Vision and Imaging
MethodsALIGN
