1 sonuçlar
Arama Sonuçları
Listeleniyor 1 - 1 / 1
Yayın Semi-automatic customization for modeling human face(Işık Üniversitesi, 2011) Abeysundera, Hasith Pasindu; Eskil, Mustafa Taner; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans ProgramıModel-based vision has firmly established its roots as a robust approach in rec-ognizing and locating known traits in rigid objects even under the presence of noise, clutter and occlusion. However the application of such systems has not displayed the same efficiency in modeling non-rigid objects. The dilemma with the prevailing modeling techniques is that that they compensate model specificity to accommodate variability, or the vice versa compromising the robustness of the 3 dimensional model during the image interpretation progression. Face, being a non rigid and a sophisticated structure makes it more arduous to model, using such approaches. In this study we have presented a novel method in modeling 3 dimensional images employing a generic wireframe and a single 2 dimensional image. Known traits are located in the 3 dimensional space using a variant of ray tracing method. Non-landmark traits are positioned employing a nearest neighbor weighted average customization. Proposed technique has proven its robustness in the experiments conducted employing the Bosphorous database. Furthermore the relative error values attained employing NNWA customization illustrated significantly low val»ues. We compared the obtained results with the ASM and Procrustes Analysis.
