Abstract
Abstract. 3D reconstruction relies on accurate detection, extraction, description and matching of image features. This is even truer for complex architectural scenes that pose needs for 3D models of high quality, without any loss of detail in geometry or color. Illumination conditions influence the radiometric quality of images, as standard sensors cannot depict properly a wide range of intensities in the same scene. Indeed, overexposed or underexposed pixels cause irreplaceable information loss and degrade digital representation. Images taken under extreme lighting environments may be thus prohibitive for feature detection/extraction and consequently for matching and 3D reconstruction. High Dynamic Range (HDR) images could be helpful for these operators because they broaden the limits of illumination range that Standard or Low Dynamic Range (SDR/LDR) images can capture and increase in this way the amount of details contained in the image. Experimental results of this study prove this assumption as they examine state of the art feature detectors applied both on standard dynamic range and HDR images.
Highlights
Architectural assets are often complex in terms of geometry as well as texture and due to their location are usually exposed to extreme illumination conditions i.e. containing dark shadows or bright sunlight
This study focuses on the use of High Dynamic Range (HDR) images towards optimizing feature detection in images of high detailed architectural scenes such as church altars with complex frescoes, highly decorated arches, columns and other buildings of special architectural style
This paper has presented the usage of HDR images in feature detection by testing some state of the art operators
Summary
Architectural assets are often complex in terms of geometry as well as texture and due to their location are usually exposed to extreme illumination conditions i.e. containing dark shadows or bright sunlight. Under these conditions, important details and colour information of the image may be lost, degrading the result of feature detection and extraction. HDR images could be useful in such cases as they broaden the limits of luminance range that standard images can capture and increase in this way the amount of characteristic features contained in the image.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
