The ability of High Dynamic Range (HDR) imaging to capture the full range of lighting in a scene has prompted an increase in its use for Cultural Heritage (CH) applications. Photogrammetric techniques allow the semi-automatic production of three-dimensional (3D) models from a sequence of images. Current photogrammetric methods are not always effective in reconstructing images under harsh lighti...

The transition from film imaging to digital imaging in photogrammetric data capture is opening interesting possibilities for photogrammetric processes. A great advantage of digital sensors is their radiometric potential. This article presents a state-of-the-art review on the radiometric aspects of digital photogrammetric images. The analysis is based on a literature research and a questionnaire...

Today the LIDAR dataset is a powerful alternative to be applied in the optimization of photogrammetric mapping techniques. The complementary nature of LIDAR and photogrammetry allows for the optimal performance of many applications to extract 3D spatial information. For example, photogrammetry image permits accurate borders building extraction. In addition, LIDAR provides a number of accurate 3...

In the past few decades, Computer Aided Design (CAD) systems have evolved from 2D tools that assist in construction design to the basis of software systems for a variety of applications, such as (re)design, manufacturing, quality control, and facility management. The basic functions of a modern CAD system are storage and retrieval of 3D data, their construction, manipulation, and visualisation....

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 ...

Robust methods of parameter estimation are often employed in multivariate applications where gross errors aaect the data, however robust methods commonly lack pre-and post-analysis measures enjoyed by least squares estimation. In terms of pre-analysis, we describe a mathematically rigorous method for determining redundancy numbers based on L1-norm minimization and for post-analysis we outline a...

The concept of research was based on the selection of several representations, which later were correlated by means of classic, and neural methods. In the course of research, classic methods of image matching were tested and compared with neural methods that originated in the course of research. Additionally, experiments consisting in manual measurements, performed by independent observers, wer...

As a component of the overall traffic incident management process, 3D measurement for accident reconstruction has gained increasing importance over recent years. Digital close-range photogrammetry displays many attributes which make it a well-suited technology for this purpose. However, traditional close-range photogrammetric approaches can pose difficulties. These include the predominance of n...

In order to meet the demand of real-time spatial data processing and improve the online processing capability of photogrammetric system, a kind of real-time photogrammetry method is proposed in this paper. According to the proposed method, system based on embedded architecture is then designed: using FPGA, ARM+DSP and other embedded computing technology to build specialized hardware operating e...

Automatic determination of three dimensional information from digital images is a fundamental problem in digital photogrammetry and computer vision. The hardest part of the problem is finding conjugate points in two images. Despite the wealth of information contained in digital images, factors such as occlusion and discontinuity weaken several matching algorithms. However, image matching using ...