Yannick Verdie

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Related publications (5)

Robust 3D Object Tracking from Monocular Images Using Stable Parts

Pascal Fua, Vincent Lepetit, Mahdi Rad, Alberto Crivellaro, Yannick Verdie, Kwang Moo Yi

2018

Learning to Assign Orientations to Feature Points

Pascal Fua, Vincent Lepetit, Yannick Verdie, Kwang Moo Yi

We show how to train a Convolutional Neural Network to assign a canonical orientation to feature points given an image patch centered on the feature point. Our method improves feature point matching upon the state-of-the art and can be used in conjunction ...

2016

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

Pascal Fua, Vincent Lepetit, Mahdi Rad, Alberto Crivellaro, Yannick Verdie, Kwang Moo Yi

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, c ...

2015

TILDE: A Temporally Invariant Learned DEtector

Pascal Fua, Vincent Lepetit, Yannick Verdie, Kwang Moo Yi

We introduce a learning-based approach to detect repeatable keypoints under drastic imaging changes of weather and lighting conditions to which state-of-the-art keypoint detectors are surprisingly sensitive. We first identify good keypoint candidates in mu ...

2015

[DEMO] Tracking Texture-less, Shiny Objects with Descriptor Fields

Pascal Fua, Vincent Lepetit, Alberto Crivellaro, Yannick Verdie, Kwang Moo Yi

Our demo demonstrates the method we published at CVPR this year for tracking specular and poorly textured objects, and lets the visitors experiment with it and with their own patterns. Our approach only requires a standard monocular camera (no need for a d ...

2014

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