Modern to Historic Image Matching: ORB/SURF an Effective Matching Technique
نویسندگان
چکیده
Matching modern to historical images requires a special effort in the sense of dealing with historical photos. While there are many robust matching techniques which are vectoror binary-based that perform effectively on modern images, they are not accurate on historic photos. Photos of different landmarks were gathered for a long timeline taken in different conditions of illuminations, position, and weather. Images were matched using standard vector-based matching techniques SIFT and SURF and a binary-based technique: ORB. Match results of these sets of images were recorded and analyzed. Generally, these results shows successful matching of the modern digital images, while matching historic photos to modern ones shows poor matching results. A novel application of a hybrid ORB/SURF matching technique was applied in matching modern to historic images showed more accurate results and performs more effectively.
منابع مشابه
Feature Matching for Aligning Historical and Modern Images
Provision of historical information based on geographical location represents a new scope of connecting the present of a certain location or landmark with its history through a timescape panorama. This may be achieved by exploring a linear timeline of photos for certain areas and landmarks that have both historic and modern photos. Matching modern to historical images requires a special effort ...
متن کاملImage Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images
Fast and robust image matching is a very important task with various applications in computer vision and robotics. In this paper, we compare the performance of three different image matching techniques, i.e., SIFT, SURF, and ORB, against different kinds of transformations and deformations such as scaling, rotation, noise, fish eye distortion, and shearing. For this purpose, we manually apply di...
متن کاملVehicle Logo Recognition Using Image Matching and Textural Features
In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...
متن کاملObject Recognition Based on ORB Descriptor for Markerless Augmented Reality
This paper investigate a binary local image descriptor for Augmented Reality (AR) applications. Recently, various fields are benefit from AR. This technique can enhance the real environment by inserting virtual objects generated by computer. Temporal coherence between virtual and real objects must be ensure in AR system realization. In this paper, object recognition based on extracted natural f...
متن کاملPerformance Evaluation of Local Detectors in the Presence of Noise for Multi-Sensor Remote Sensing Image Matching
Automatic, efficient, accurate, and stable image matching is one of the most critical issues in remote sensing, photogrammetry, and machine vision. In recent decades, various algorithms have been proposed based on the feature-based framework, which concentrates on detecting and describing local features. Understanding the characteristics of different matching algorithms in various applications ...
متن کامل