Evaluation of feature-based methods for automated network orientation

Apollonio, Fabrizio Ivan; Ballabeni, Andrea; Gaiani, Marco; Remondino, Fabio

doi:10.5194/isprsarchives-xl-5-47-2014

Cited by 46 publications

(39 citation statements)

References 59 publications

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“…In fact, they suffer from variable precision, strongly dependent on the pattern present on surveyed objects, as well as the difficulty of having little control of the achievable accuracy at the geometric and morphological levels (Apollonio et al, 2014;Guidi & Remondino, 2012).…”

Section: Geometry Surveymentioning

confidence: 99%

Range and Image Based Modelling: A Way for Frescoed Vault Texturing Optimization

Crepaldi¹,

Zaragoza²,

Piemonte³

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:In the restoration of the frescoed vaults it is not only important to know the geometric shape of the painted surface, but it is essential to document its chromatic characterization and conservation status. The new techniques of range-based and image-based modelling, each with its limitations and advantages, offer a wide range of methods to obtain the geometric shape. In fact, several studies widely document that laser scanning enable obtaining three-dimensional models with high morphological precision. However, the quality level of the colour obtained with built-in laser scanner cameras is not comparable to that obtained for the shape. It is possible to improve the texture quality by means of a dedicated photographic campaign. This procedure, however, requires to calculate the external orientation of each image identifying the control points on it and on the model through a costly step of post processing. With image-based modelling techniques it is possible to obtain models that maintain the colour quality of the original images, but with variable geometric precision, locally lower than the laser scanning model. This paper presents a methodology that uses the camera external orientation parameters calculated by image based modelling techniques to project the same image on the model obtained from the laser scan. This methodology is tested on an Italian mirror (a schifo) frescoed vault. In the paper the different models, the analysis of precision and the efficiency evaluation of proposed methodology are presented.

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Section: Geometry Surveymentioning

confidence: 99%

Range and Image Based Modelling: A Way for Frescoed Vault Texturing Optimization

Crepaldi¹,

Zaragoza²,

Piemonte³

2015

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Nowadays the most popular and used operator to run the initial phase of the SfM pipeline (images matching) is the SIFT method (Lowe, 2004) for interest point detection/description and the use of the Euclidean distance criteria for the matching. SIFT failures case are changes in the illumination conditions, reflecting surfaces, object/scene with strong 3D aspect, highly repeated structures in the scene and very different viewing angle between the images (Apollonio et al, 2014). We run an optimized implementation of the ASIFT algorithm (Morel & Yu, 2009) aiming to correct the SIFT failures in case of very different viewing angles.…”

Section: Photogrammetric Data Acquisition and 3d Model Constructionmentioning

confidence: 99%

From Documentation Images to Restauration Support Tools: A Path Following the Neptune Fountain in Bologna Design Process

Apollonio

Ballabeni

Bertacchi

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The sixteenth-century Fountain of Neptune is one of Bologna's most renowned landmarks. During the recent restoration activities of the monumental sculpture group, consisting in precious marbles and highly refined bronzes with water jets, a photographic campaign has been carried out exclusively for documentation purposes of the current state of preservation of the complex. Nevertheless, the highquality imagery was used for a different use, namely to create a 3D digital model accurate in shape and color by means of automated photogrammetric techniques and a robust customized pipeline. This 3D model was used as basic tool to support many and different activities of the restoration site. The paper describes the 3D model construction technique used and the most important applications in which it was used as support tool for restoration: (i) reliable documentation of the actual state; (ii) surface cleaning analysis; (iii) new water system and jets; (iv) new lighting design simulation; (v) support for preliminary analysis and projectual studies related to hardly accessible areas; (vi) structural analysis; (vii) base for filling gaps or missing elements through 3D printing; (viii) high-quality visualization and rendering and (ix) support for data modelling and semantic-based diagrams.

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“…Among other feature detectors, (Apollonio et al, 2014) evaluate SIFT (Lowe, 2004) and ASIFT (Morel and Yu, 2009) for terrestrial imagery. While they do not find a clear overall winner, we have found ASIFT to work notably well with archaeologial oblique aerial images .…”

Section: Feature Matching Facing Large Perspective Distortionmentioning

confidence: 99%

Efficient Orientation and Calibration of Large Aerial Blocks of Multi-Camera Platforms

Karel

Ressl

Pfeifer

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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KEY WORDS: multi-sensor calibration, oblique aerial imagery, tie point decimation, bundle block adjustment, affine-invariant feature point ABSTRACT:Aerial multi-camera platforms typically incorporate a nadir-looking camera accompanied by further cameras that provide oblique views, potentially resulting in utmost coverage, redundancy, and accuracy even on vertical surfaces. However, issues have remained unresolved with the orientation and calibration of the resulting imagery, to two of which we present feasible solutions. First, as standard feature point descriptors used for the automated matching of homologous points are only invariant to the geometric variations of translation, rotation, and scale, they are not invariant to general changes in perspective. While the deviations from local 2D-similarity transforms may be negligible for corresponding surface patches in vertical views of flat land, they become evident at vertical surfaces, and in oblique views in general. Usage of such similarity-invariant descriptors thus limits the amount of tie points that stabilize the orientation and calibration of oblique views and cameras. To alleviate this problem, we present the positive impact on image connectivity of using a quasi affine-invariant descriptor. Second, no matter which hard-and software are used, at some point, the number of unknowns of a bundle block may be too large to be handled. With multi-camera platforms, these limits are reached even sooner. Adjustment of sub-blocks is sub-optimal, as it complicates data management, and hinders self-calibration. Simply discarding unreliable tie points of low manifold is not an option either, because these points are needed at the block borders and in poorly textured areas. As a remedy, we present a straight-forward method how to considerably reduce the number of tie points and hence unknowns before bundle block adjustment, while preserving orientation and calibration quality.

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Evaluation of feature-based methods for automated network orientation

Cited by 46 publications

References 59 publications

Range and Image Based Modelling: A Way for Frescoed Vault Texturing Optimization

Range and Image Based Modelling: A Way for Frescoed Vault Texturing Optimization

From Documentation Images to Restauration Support Tools: A Path Following the Neptune Fountain in Bologna Design Process

Efficient Orientation and Calibration of Large Aerial Blocks of Multi-Camera Platforms

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