6533b820fe1ef96bd1279914
RESEARCH PRODUCT
Short baseline line matching for central imaging systems
Saleh MosaddeghPascal VasseurDavid Fofisubject
Matching (graph theory)Computer sciencebusiness.industryPerspective (graphical)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTranslation (geometry)Real imageCatadioptric systemArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceVanishing pointbusinessRotation (mathematics)Softwaredescription
We develop a generic line matching method especially applicable to omnidirectional images taken from constructed scenes with short baseline motion where the motion of the imaging system between two views is mainly an arbitrary rotation and the translation of the camera between two views with respect to its distance to the imaged scene is negligible. We start by studying the relationship between images of lines on unitary sphere followed by proposing a simple algorithm for simultaneously matching vanishing points and lines. The developed algorithm is very simple, yet it works on images captured by all types of central imaging systems, including perspective, fish-eye and catadioptric images. Various experimental results on both synthetic and real images taken by different central cameras as well as an application of the algorithm for creating high resolution panoramic images from several high resolution perspective images are also presented.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-12-01 | Pattern Recognition Letters |