Abstract: In this paper, we propose a new stereo matching algorithm able to reconstruct efficiently a dense disparity maps from few sparse disparity ...

In this paper, we propose a new stereo matching algorithm able to reconstruct efficiently a dense disparity maps from few sparse disparity measurements.

A new stereo matching algorithm able to reconstruct efficiently a dense disparity maps from few sparse disparity measurements is proposed, which produces ...

In this paper, we propose a new stereo matching algorithm able to reconstruct efficiently a dense disparity maps from few sparse disparity measurements. The ...

In this paper a novel matching algorithm is proposed that improve the quality of disparity map in order to increase the accuracy in stereo 3D reconstruction ...

In this paper, we propose a new stereo matching algorithm able to reconstruct efficiently a dense disparity maps from few sparse disparity measurements.

In this paper we present an algorithm for dense dispar- ity map reconstruction using sparse reliable disparity mea- surements. Based on the theory of ...

Oct 22, 2024 · Based on the theory of Compressive Sensing, our algorithm accurately reconstructs disparity maps only using about 5% of the entire map. We ...

Like many local correspondence algorithms, this method is efficient but the resulting disparity map has many holes in it, especially in regions with very little ...

This paper proposes to estimate the dense disparities from a small set of spatial measurements using a combined wavelet and contourlet bases and shows that ...