16 hours ago · Given a pair of rectified images, the task of stereo matching is to find correspondence points in the pair of images and calculate the disparity, which is ...

3 days ago · STEREO matching is a fundamental task in computer vision, focusing on estimating the disparity between two rectified stereo images [1].

5 days ago · 3. Line feature matching process in two frames. A definitive match is established based on the similarity of the matched lines' cosine angles and the degree of ...

4 days ago · We propose a disparity map refinement technique that synergizes the benefits of stereo cameras and LiDAR sensors. Our method dynamically adjusts the ...

3 days ago · Convolutional neural network takes into account the local information of interrogative sentences and can capture local position invariance, allowing feature ...

3 days ago · For point cloud data processing, feature matching scores are adopted for the identification and measurement of similarities between different point clouds.

2 days ago · This paper proposes the h-GNN, a feature matching model that employs message-passing mechanisms to facilitate the exchange of both local and global information ...

21 hours ago · Second, we propose a view selection process that uses a generation quality classifier and a feature matching network to measure the consistency of the different ...

7 days ago · The similarity of two calibrated vein networks is measured by the proposed elastic matching and further recomputed by integrating the overlap degree of ...

2 days ago · Scharstein et al. (2001) have proposed a four-step framework for traditional stereo matching, including matching cost computation, cost aggregation, parallax ...