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Unified Point-Edgelet Feature Tracking, Kalaivani Sundararajan

All Theses

Feature tracking algorithms have conventionally tracked `corner' features or windows with high spatial frequency content. However, this conventional point feature representation of scenes would be inappropriate for poorly textured image sequences like indoor image sequences. To overcome this problem, we propose a feature tracking algorithm which tracks point features and edgelets
simultaneously. Edgelets are straight line approximations of intensity edges in an image. Hence, a combination of point features and edgelets provides a better representation of untextured sequences with the point features and edgelets complementing each other. We show that this property results in more robust tracking.
Tracking edgelets is …