&lt;title&gt;Photogrammetric analysis of image invariance&lt;/title&gt;

Barakat, Hazem F.; Doucette, Peter; Mikhail, Edward M.

doi:10.1117/12.182850

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A fim de que haja uma simplificação da representação desta equação, algumas matrizes deste produto são normalmente agrupadas. Barakat et al (1994) e Galo & Tozzi (1997).…”

Section: Matrizes Essencial E Fundamentalunclassified

“…Assim, para cada par de pontos homólogos pode-se escrever uma equação do tipo 3.21 ou 3.22. Se as coordenadas dos pontos forem corrigidas dos parâmetros intrínsecos, ou seja, se os parâmetros intrínsecos das câmaras são disponíveis, pode-se obter a matriz essencial E diretamente e, caso contrário, pode-se obter a matriz F. Por esta razão alguns autores consideram que a matriz fundamental pode ser utilizada para recuperar os parâmetros de orientação para o caso de câmaras não calibradas (BARAKAT et al, 1994;ZHANG et al, 1994;e HARTLEY, 1997).…”

Section: Matrizes Essencial E Fundamentalunclassified

See 1 more Smart Citation

Automação dos processos de correspondencia e orientação relativa em visão estereo

Galo¹,

Tozzi²

View full text Add to dashboard Cite

One of the main research subject in Computer Vision and Photogrammetry is the correspondence problem or image matching. The interest in this subject can be justified once it is considered as an ill-posed problem, and a robust solution is difficulty to be found.In the case where the images are not in a normal disposition, i.e., affected by convergence, rotation and scale difference, the difficulty is even increased. So, in this work an approach based on relaxation labeling is proposed, where the relative orientation and points correspondences are automatically solved for non-normal pairs of images. In the proposed algorithm, multiples metrics are considered on both, similarity and compatibility computation. Among the metrics used, one of them is the angular relation between the neighborhood at primitive space, and epipolar constraints, via the volume of Matching Parallelepiped -MP. The volume of the MP can be computed when the relative orientation is available, and it was shown that the MP volume is related to the epipolar geometry. Therefore, it is not necessary to compute the epipolar line equations and distances between the candidates to the epipolar lines. Experiments with synthetic and real images indicate that even for situations where scale differences, rotation and convergence are presented, the relative orientation parameters are recovered and most of the correspondences are correctly found.

show abstract

“…A fim de que haja uma simplificação da representação desta equação, algumas matrizes deste produto são normalmente agrupadas. Barakat et al (1994) e Galo & Tozzi (1997).…”

Section: Matrizes Essencial E Fundamentalunclassified

Automação dos processos de correspondencia e orientação relativa em visão estereo

Galo¹,

Tozzi²

View full text Add to dashboard Cite

show abstract

The concept of matching parallelepiped and its use in the correspondence problem

Galo

Tozzi²

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348)

View full text Add to dashboard Cite

In this paper, the concept of Matching Parallelepiped (MP) ispresented. It is shown that the volume of the MP can be used as an additional measure of 'distance' between a pair of candidate points in a matching algorithni by Relaxation Labeling (RL), The volume of the MP is related with the Epipolar Geometry and the use of this measure works as an epipolar constraint in a RL process, decreasing the efforts in the matching algorithm since it is not neces.sary to explicit@ determine the equations of the epipolar lines and to compute the distance o f a candidate point to each epipolar line. A s at the beginning of the process ,the Relative Orientation (RO) parameters are unknown, a initial matching based on gradient, intensities and correlation is obtained. Based on this set of labeled points the RO is determined and the epipolar constraint included in the algorithm. The obtained results shown that the proposed approach is suitable to determine feature-point matching with simultaneous estimation of camera orientation parameters even for the cases where the pair of optical axes are not parallel.

show abstract

<title>Photogrammetric analysis of image invariance</title>

Cited by 2 publications

References 0 publications

Automação dos processos de correspondencia e orientação relativa em visão estereo

Automação dos processos de correspondencia e orientação relativa em visão estereo

The concept of matching parallelepiped and its use in the correspondence problem

Contact Info

Product

Resources

About