The process for automatic DTM, DSM generation in close-range photogrammetric applications is always a need but under investigation for many years so far. It is well known that close range conditions are wide big different from the aerial ones, basically due to the three reasons: (a) the perspective in images appears to be larger; (b) the existence of repeated patterns at every turn and (c) the ...

Internal self-diagnosis and external evaluation of the obtained results are of major importance for the relevance of any automatic system for practical applications. Obviously, this statement is also true for automatic image analysis in photogrammetry and remote sensing. Recently, automatic systems for the extraction of road networks reached a state in which a systematic evaluation of the resul...

Purpose. – The aim of the present study was to quantitatively assess the performance of a block matching-based automatic registration algorithm integrated within the commercial treatment planning system designated ISOgrayTM from Dosisoft. The accuracy of the process was evaluated by a phantom study on computed tomography (CT), magnetic resonance (MR) and positron emission tomography (PET) image...

In this paper, we introduce and discuss the task of sheet music-audio identification. Given a query consisting of a sequence of bars from a sheet music representation, the task is to find corresponding sections within an audio interpretation of the same piece. Two approaches are proposed: a semi-automatic approach using synchronization and a fully automatic approach using matching techniques. A...

In this paper, we introduce and discuss the task of sheet music-audio identification. Given a query consisting of a sequence of bars from a sheet music representation, the task is to find corresponding sections within an audio interpretation of the same piece. Two approaches are proposed: a semi-automatic approach using synchronization and a fully automatic approach using matching techniques. A...

All relevant key techniques involved in photogrammetric vision metrology for fully automatic 3D measurement of large-scale structure are studied. A new kind of coded target consisting of circular retroreflective discs is designed, and corresponding detection and recognition algorithms based on blob detection and clustering are presented. Then a three-stage strategy starting with view clustering...

Multitemporal and multisatellite studies or comparisons between satellite data and local ground measurements require nowadays precise and automatic geometric correction of satellite images. This paper presents a fully automatic geometric correction system capable of georeferencing satellite images with high accuracy. An orbital prediction model, which provides initial earth locations, is combin...

Fully automatic Face Recognition Across Pose (FRAP) is one of the most desirable techniques, however, also one of the most challenging tasks in face recognition field. Matching a pair of face images in different poses can be converted into matching their pixels corresponding to the same semantic facial point. Following this idea, given two images G and P in different poses, we propose a novel m...

A wide variety of applications including object recognition and terrain mapping, rely upon automatic three dimensional surface modelling. The automatic correspondence stage of the modelling process has proven challenging. Intrinsic correspondence methods determine matching segments of partially overlapping 3D surfaces, by using properties intrinsic to the surfaces. These methods do not require ...

Increasingly, more tools are available for the documentation of heritage assets. Significant time is often required to evaluate a particular tool for such factors as precision, efficiency, cost and possible cost savings in the context of project delivery. This presentation will examine these questions in the case of Shapecapture. Shapecapture is a photogrammetric software package that uses digi...