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Alberto Crivellaro

2 accepted papers

2015

A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images

ICCV 2015poster

We present a method that estimates in real-time and under challenging conditions the 3D pose of a known object. Our method relies only on grayscale images since depth cameras fail on metallic objects; it can handle poorly textured objects, and cluttered, changing environments; the pose it predi…

Cited by 135PDFScholar
2015

Dense Image Registration and Deformable Surface Reconstruction in Presence of Occlusions and Minimal Texture

ICCV 2015poster

Deformable surface tracking from monocular images is well-known to be under-constrained. Occlusions often make the task even more challenging, and can result in failure if the surface is not sufficiently textured. In this work, we explicitly address the problem of 3D reconstruction of poorly texture…

Cited by 53PDFScholar