Functional quadratic regression models postulate a polynomial relationship rather than linear one between scalar response and functional covariate. As in regression, vertical especially high–leverage outliers may affect the classical estimators. For that reason, providing reliable estimators such situations is an important issue. Taking into account model equivalent to of same order principal c...

Conventional local features such as SIFT or SURF are robust to scale and rotation changes but sensitive to large perspective change. Because perspective change always occurs when 3D object moves, using these features to estimate the pose of a 3D object is a challenging task. In this paper, we extend one of our previous works on viewpoint generative learning to 3D objects. Given a model of a tex...

This paper investigates whether visual place recognition techniques can be used to provide pose estimation information for a visual SLAM system operating long-term in an environment where the appearance may change a great deal. It demonstrates that a combination of a conventional SURF feature detector and a condition-invariant feature descriptor such as HOG or conv3 can provide a method of dete...