The method of least squares is unsuitable for dealing with blunders in measurements. Other so called robust computation methods are explained and applied to photogrammetric problems (relative and absolute orientation) enabling the automatic detection and elimination of blunders. It is shown that these robust methods considerably improve the photogrammetric mapping process. -Author
Three tasks are explored in this research: precise target location in a single digital image, matchi...
The objective of this paper is to highlight current trends in photogrammetry, trying to foresee wher...
This paper describes a robust photogrammetric system for 3-D surface reconstruction. We use a linear...
Systematic, random and gross errors are considered the main problems facing those working in the pho...
Implicit in the projective transformation between object and image space in photogrammetry is the re...
The Direct Linear Transformation (DLT) method was first reported on in 1974 as an attractive alterna...
In this paper, a robust recognition algorithm for encoded targets in close-range photogrammetry is p...
Photogrammetry as a measuring tool has been applied mainly in topographic mapping, although from the...
Main objective of this work is to suggest some easy procedures to solve typical non-linear problems ...
Nowadays photogrammetry and laser scanning methods are the most wide spread surveying techniques. La...
Digital photogrammetric systems, such as softcopy stereo workstations, are beginning to replace anal...
A great deal of interest has arisen lately in the application of expert systems to problems in which...
In this paper, we derive a novel robust image alignment technique that performs joint geometric and ...
This textbook offers a statistical view on the geometry of multiple view analysis, required for came...
In this paper, a robust recognition algorithm for encoded targets in close-range photogrammetry is p...
Three tasks are explored in this research: precise target location in a single digital image, matchi...
The objective of this paper is to highlight current trends in photogrammetry, trying to foresee wher...
This paper describes a robust photogrammetric system for 3-D surface reconstruction. We use a linear...
Systematic, random and gross errors are considered the main problems facing those working in the pho...
Implicit in the projective transformation between object and image space in photogrammetry is the re...
The Direct Linear Transformation (DLT) method was first reported on in 1974 as an attractive alterna...
In this paper, a robust recognition algorithm for encoded targets in close-range photogrammetry is p...
Photogrammetry as a measuring tool has been applied mainly in topographic mapping, although from the...
Main objective of this work is to suggest some easy procedures to solve typical non-linear problems ...
Nowadays photogrammetry and laser scanning methods are the most wide spread surveying techniques. La...
Digital photogrammetric systems, such as softcopy stereo workstations, are beginning to replace anal...
A great deal of interest has arisen lately in the application of expert systems to problems in which...
In this paper, we derive a novel robust image alignment technique that performs joint geometric and ...
This textbook offers a statistical view on the geometry of multiple view analysis, required for came...
In this paper, a robust recognition algorithm for encoded targets in close-range photogrammetry is p...
Three tasks are explored in this research: precise target location in a single digital image, matchi...
The objective of this paper is to highlight current trends in photogrammetry, trying to foresee wher...
This paper describes a robust photogrammetric system for 3-D surface reconstruction. We use a linear...