In this paper, a matching method based on binary auto-encoding features is proposed for the multi-sensor image with large difference in the imaging ...

Abstract—The key technology in aircraft guidance and medical diagnosis is the multi-sensor images matching. In this paper, a matching method based on binary ...

In this paper, we present a wavelet-based method for automatic barcode character detection. Barcodes are widely used in a wide array of applications. In order ...

This paper presents a multi-sensor image matching algorithm based on KAZE-HOG features, which has strong robustness, and it has good capability to resist scale ...

This paper proposes a novel automatic matching method named LURF via learned unstructured road features for the multimodal images.

This research presents a new hyperspectral change detection (HCD) framework based on a robust binary mask and convolutional neural network (CNN).

It involves taking pictures of prototypes and detecting KAZE features, mapping and clustering these features, applying Homography transformation for object ...

Sep 29, 2023 · This paper proposes a novel solution for the high mismatch rate in stereo matching caused by factors such as occlusion, lighting, and weak texture in real- ...

The objective of this endeavor is to furnish a comprehensive overview of local feature matching methods. These methods are categorized into two key segments ...

Abstract—We explore the capabilities of Auto-Encoders to fuse the information available from cameras and depth sensors, and to reconstruct missing data, ...