Image Stitching
24 papers with code • 1 benchmarks • 4 datasets
Image Stitching is a process of composing multiple images with narrow but overlapping fields of view to create a larger image with a wider field of view.
Source: Single-Perspective Warps in Natural Image Stitching
( Image credit: Kornia )
Latest papers with no code
Single-image camera calibration with model-free distortion correction
Camera calibration is a process of paramount importance in computer vision applications that require accurate quantitative measurements.
Robust Multi-Modal Image Stitching for Improved Scene Understanding
Multi-modal image stitching can be a difficult feat.
Seam-guided local alignment and stitching for large parallax images
However, the effectiveness of seam-cutting usually depends on that images can be roughly aligned such that there exists a local region where a plausible seam can be found.
Parallax-Tolerant Image Stitching with Epipolar Displacement Field
Large parallax image stitching is a challenging task.
Research on Image Stitching Based on Invariant Features of Reconstructed Plane
This paper proposes an image stitching method based on invariant planar features, which uses planar features as constraints to improve the overall effect of natural image stitching.
GPU Accelerated Color Correction and Frame Warping for Real-time Video Stitching
Traditional image stitching focuses on a single panorama frame without considering the spatial-temporal consistency in videos.
Multi-Spectral Image Stitching via Spatial Graph Reasoning
Multi-spectral image stitching leverages the complementarity between infrared and visible images to generate a robust and reliable wide field-of-view (FOV) scene.
Pentagon-Match (PMatch): Identification of View-Invariant Planar Feature for Local Feature Matching-Based Homography Estimation
Experimental results show that highly accurate estimation of homography can be obtained efficiently for planar scenes of the HPatches dataset, based on keypoint matching results provided by LoFTR.
Displacement field calculation of large-scale structures using computer vision with physical constraints
Because of the advantages of easy deployment, low cost and non-contact, computer vision-based structural displacement acquisition technique has received wide attention and research in recent years.
Deep Seam Prediction for Image Stitching Based on Selection Consistency Loss
To our knowledge, the proposed DSeam is the first deep learning based seam prediction method for image stitching.