Automatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstruction

Abstract

Image orientation requires ground control as a source of information for both indirect estimation and quality assessment to guarantee the accuracy of the photogrammetric processes. However, the orientation still depends on interactive measurements to locate the control entities over the images. This paper presents an automatic technique used to generate 3D control points from vertical panoramic terrestrial images. The technique uses a special target attached to a GPS receiver and panoramic images acquired in nadir view from different heights. The reference target is used as ground control to determine the exterior orientation parameters (EOPs) of the vertical images. These acquired multi-scale images overlap in the central region and can be used to compute ground coordinates using photogrammetric intersection. Experiments were conducted in a terrestrial calibration field to assess the geometry provided by the reference target and the quality of the reconstructed object coordinates. The analysis was based on the checkpoints, and the resulting discrepancies in the object space were less than 2 cm in the studied cases. As a result, small models and ortho-images can be produced as well as georeferenced image chips that can be used as high-quality control information.

Tree Stem Reconstruction Using Vertical Fisheye Images: A Preliminary Study

“…The image acquisition system and the processing technique for forest areas were originally presented by Tommaselli and Berveglieri (2014) and Berveglieri et al (2014) and it was adapted to be applied with this reconstruction technique. A telescopic pole attached to the fisheye camera in nadir viewing is used to collect vertical images among trees, as shown in Figures 1(a,b).…”

“…(2015)) is used with addition the Conrady-Brown model (Fryer and Brown 1986). A bundle adjustment is performed using constraints imposed to the ground coordinates, observations and Exterior Orientation Parameters (EOPs) as described by Tommaselli and Berveglieri (2014) and Berveglieri et al (2014). …”

Data Product Specification Proposal for Architectural Heritage Documentation with Photogrammetric Techniques: A Case Study in Brazil

“…Furthermore, in the case of digital cameras, some adaptations for direct methods must be done, such as determining the nodal point physically. (17) Image measurement of tie points, control points and checkpoints should be automated or semi-automated [68][69][70], whenever possible. (18) RMSE of the checkpoints after bundle adjustment should be less than two thirds of the error limit for absolute positional accuracy.…”

Geometric and Reflectance Signature Characterization of Complex Canopies Using Hyperspectral Stereoscopic Images From Uav and Terrestrial Platforms

“…The modern computer vision and photogrammetric techniques based on structure-from-motion image orientation techniques (Wu et al, 2013) and dense digital matching generating accurate 3D point clouds and digital surface models (DSM) (Leberl et al, 2010) offer efficient tools to process the data sets. This paper presents new instrumentation and processing chain for 3D geometric and multiangular reflectance characterization of complex forest canopies; the research augments the recent developments by Hakala et al (2013), Honkavaara et al (2013;2016), Tommaselli et al (2014) and Liang et al (2015). The instrumentation can be operated from UAV and terrestrial platforms.…”