Recent developments in large-scale tie-point matching

Hartmann, Wilfried; Havlena, Michal; Schindler, Konrad

doi:10.1016/j.isprsjprs.2015.09.005

Cited by 70 publications

(43 citation statements)

References 40 publications

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“…Indeed, it generally ensures sufficient automation, low cost, efficient results and ease of use, even for non-expert users. The recent progresses were achieved in all core components of the image-based processing pipeline: image preprocessing (Verhoeven et al, 2015), keypoints extraction (Hartmann et al, 2015), bundle adjustment (Schoenberger and Frahm, 2016) and dense points clouds generation . These progresses have led to fully automated methodologies (normally called Structure-from-Motion -SfM and Multi-View Stereo -MVS) able to process large image datasets and deliver 3D (both sparse and dense) results with a level of detail and precision variable according to the applications (Frahm et al, 2010;Crandall et al, 2013).…”

Section: State-of-the-art In Automated Image-based 3d Reconstructionmentioning

confidence: 99%

A Critical Review of Automated Photogrammetric Processing of Large Datasets

Remondino

Nocerino

Toschi

et al. 2017

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

128

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ABSTRACT:The paper reports some comparisons between commercial software able to automatically process image datasets for 3D reconstruction purposes. The main aspects investigated in the work are the capability to correctly orient large sets of image of complex environments, the metric quality of the results, replicability and redundancy. Different datasets are employed, each one featuring a diverse number of images, GSDs at cm and mm resolutions, and ground truth information to perform statistical analyses of the 3D results. A summary of (photogrammetric) terms is also provided, in order to provide rigorous terms of reference for comparisons and critical analyses.

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Section: State-of-the-art In Automated Image-based 3d Reconstructionmentioning

confidence: 99%

A Critical Review of Automated Photogrammetric Processing of Large Datasets

Remondino

Nocerino

Toschi

et al. 2017

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

128

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“…With this term, the camera stations and the resulting connections between the images in terms of corresponding tie points (TPs) to compute image exterior orientation (EO) in a SfM fashion (Hartmann et al, 2016) and for successive 3D reconstruction through dense matching is intended (Barazzetti et al, 2009). The main issues are related to the complex surface topography that it typical of mountain areas, limiting the organization of the data acquisition campaign on one side, and making complex the collection of a suitable block geometry on the other.…”

Section: Data Acquisition Design and Planningmentioning

confidence: 99%

Technical Aspects Related to the Application of SFM Photogrammetry in High Mountain

Scaioni¹,

Crippa²,

Corti³

et al. 2018

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

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ABSTRACT:Structure-from-Motion (SfM) photogrammetry is a flexible and powerful tool to provide 3D point clouds describing the surface of objects. Due to the easy transportability and low-cost of necessary equipment with respect to laser scanning techniques, SfM photogrammetry has great potential to be applied in harsh high-mountain environment. Here point clouds and derived by-products (DEM's, orthoimages, Virtual-Reality models) are needed to document surface morphology and to investigate dynamic processes such as landslides, avalanches, river and soil erosion, glacier retreat. On the other hand, from both the literature and the direct experience of the authors, there are some technical issues that still deserve thorough investigations. The paper would like to address some open problems and suggest solutions, in particular on regards of the photogrammetric network design, the strategy for georeferencing the final products, and for their comparison within time. The discussion is documented with some examples, mainly from surveying campaigns at the Forni Glacier in Italian Alps.

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“…In contrast to other large scale bundle adjustments problems (Hartmann et al, 2016), the image correspondence problem is already solved, due to adequate approximate values for the EO parameters. But setting up matching parameters in advance to obtain a suitable tie point distribution over all areas of the block is hard because of differing image quality.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Distribution of Tie Points for the Bundle Adjustment Of HRSC Image Mosaics

Bostelmann

Breitkopf

Heipke

2017

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

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ABSTRACT:For a systematic mapping of the Martian surface, the Mars Express orbiter is equipped with a multi-line scanner: Since the beginning of 2004 the High Resolution Stereo Camera (HRSC) regularly acquires long image strips. By now more than 4,000 strips covering nearly the whole planet are available. Due to the nine channels, each with different viewing direction, and partly with different optical filters, each strip provides 3D and color information and allows the generation of digital terrain models (DTMs) and orthophotos. To map larger regions, neighboring HRSC strips can be combined to build DTM and orthophoto mosaics. The global mapping scheme Mars Chart 30 is used to define the extent of these mosaics. In order to avoid unreasonably large data volumes, each MC-30 tile is divided into two parts, combining about 90 strips each. To ensure a seamless fit of these strips, several radiometric and geometric corrections are applied in the photogrammetric process. A simultaneous bundle adjustment of all strips as a block is carried out to estimate their precise exterior orientation. Because size, position, resolution and image quality of the strips in these blocks are heterogeneous, also the quality and distribution of the tie points vary. In absence of ground control points, heights of a global terrain model are used as reference information, and for this task a regular distribution of these tie points is preferable. Besides, their total number should be limited because of computational reasons. In this paper, we present an algorithm, which optimizes the distribution of tie points under these constraints. A large number of tie points used as input is reduced without affecting the geometric stability of the block by preserving connections between strips. This stability is achieved by using a regular grid in object space and discarding, for each grid cell, points which are redundant for the block adjustment. The set of tie points, filtered by the algorithm, shows a more homogenous distribution and is considerably smaller. Used for the block adjustment, it yields results of equal quality, with significantly shorter computation time. In this work, we present experiments with MC-30 half-tile blocks, which confirm our idea for reaching a stable and faster bundle adjustment. The described method is used for the systematic processing of HRSC data.

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Recent developments in large-scale tie-point matching

Cited by 70 publications

References 40 publications

A Critical Review of Automated Photogrammetric Processing of Large Datasets

A Critical Review of Automated Photogrammetric Processing of Large Datasets

Technical Aspects Related to the Application of SFM Photogrammetry in High Mountain

Optimizing the Distribution of Tie Points for the Bundle Adjustment Of HRSC Image Mosaics

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