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What is Interest Points Detection and Description for Structure From Motion

Handbook of Research on Emerging Digital Tools for Architectural Surveying, Modeling, and Representation
Interest Point in an image is a point that is exceptional from its neighborhood. To detect and describe this point typically it’s used a two-step process: A. Feature Detectors: where a feature detector (extractor) is an algorithm taking an image as input and outputting a set of regions (‘local features’). B. Feature Descriptor: where a descriptor is computed on an image region defined by a detector. The descriptor is a representation of the intensity (e.g. color) function on the region. Main requirement of feature detectors and descriptors algorithms is that good features should be robust to all sorts of changes that can occur between images: illumination, scale, rotation, affine transformation, full perspective.
Published in Chapter:
Color Acquisition, Management, Rendering, and Assessment in 3D Reality-Based Models Construction
Marco Gaiani (Università di Bologna, Italy)
DOI: 10.4018/978-1-4666-8379-2.ch001
Abstract
In this chapter are presented a framework and some solutions for color acquisition, management, rendering and assessment in Architectural Heritage (AH) 3D models construction from reality-based data. The aim is to illustrate easy, low-cost and rapid procedures that produce high visual accuracy of the image/model while being accessible to non-specialized users and unskilled operators, typically Heritage architects. The presented processing is developed in order to render reflectance properties with perceptual fidelity on many type of display and presents two main features: is based on an accurate color management system from acquisition to visualization and more accurate reflectance modeling; the color pipeline could be used inside well established 3D acquisition pipeline from laser scanner and/or photogrammetry. Besides it could be completely integrated in a Structure From Motion pipeline allowing simultaneous processing of color/shape data.
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