Keypoint detection and description on image curves
Köksal, Ali, author.

Keypoint detection and description on image curves

Köksal, Ali, author.

Yazar Ek Girişi
Köksal, Ali, author.

Fiziksel Tanımlama
xi, 109 leaves: color illustraltions.+ 1 computer laser optical disc.

Image curves are one of the choices for representing interest points which also provide discriminative information about images. Boundary of regions and contour of shapes are real-time instances of image curves. In this thesis, we propose two approaches for keypoint detection and description on image curves. To extract keypoints on image curves, we compute the extrema curvature of region boundaries. This mechanism improves repeatability of keypoints on 3D data. For the description of image curves, shape contours are used. This is similar to approaches that describe the features based on shapes and image gradients. Unlike these approaches, we combine spatial and directional information of tangent directions to extract a feature vector that leads to improved matching and recognition on several standard computer vision tasks such as character and object recognition.

Konu Başlığı
Image analysis.
Pattern recognition systems.
Computer vision.
Image processing.

Yazar Ek Girişi
Özuysal, Mustafa,

Tüzel Kişi Ek Girişi
İzmir Institute of Technology. Computer Engineering.

Tek Biçim Eser Adı
Thesis (Master)--İzmir Institute of Technology: Computer Engineering.
İzmir Institute of Technology: Computer Engineering--Thesis (Master).

Elektronik Erişim
Access to Electronic Versiyon.

LibraryMateryal TürüDemirbaş NumarasıYer NumarasıDurumu/İade Tarihi
IYTE LibraryTezT001634TK7882.P3 K79 2017Tez Koleksiyonu