This paper presents a method to estimate the pose (position and orientation) associated to the range data of an object partial view with respect to the ...

Abstract: This paper presents a method to estimate the pose (position and orientation) associated to the range data of an. object partial view with respect ...

PDF | This paper presents a method to estimate the pose (position and orientation) associated to the range data of an object partial view with respect.

Abstract: This paper presents a method to estimate the pose (position and orientation) associated to the range data of an object partial view with respect ...

The proposed method obtains very good pose estimations achieving very low failure rate, even in the case of the existence of occlusions, by obtaining a ...

Partial Views Matching Using a Method Based on Principal Components. S. Salamanca, C. Cerrada, A. Adán, and M. Adán. ICINCO (2), page 3-10.

Partial Views Matching Using a Method Based on Principal Components. Salamanca Mino, Santiago; Cerrada Somolinos, Carlos; Adan Oliver, Antonio; Miguel Adán.

Oct 30, 2021 · One of the early attempt with moderate success is eigenface, which is based on linear algebra techniques. In this tutorial, we will see how we ...

If the number of observations is less than the number of explanatory variables, the standard least square method cannot provide a unique set of coefficient ...

Principal component analysis, or PCA, is a dimensionality reduction method that is often used to reduce the dimensionality of large data sets, ...