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 )
HPatches
UDIS-D
PhotoSynth
CROSS
Latest papers with no code
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.
A Geometrically Constrained Point Matching based on View-invariant Cross-ratios, and Homography
In computer vision, finding point correspondence among images plays an important role in many applications, such as image stitching, image retrieval, visual localization, etc.
Resnet18 Model With Sequential Layer For Computing Accuracy On Image Classification Dataset
This paper highlights the addition of a sequential layer to the traditional RESNET 18 model for computing the accuracy of an Image classification dataset.
Improving Model Performance and Removing the Class Imbalance Problem Using Augmentation
The accuracies are acquired for each augmentation technique using a RESNET18 model.
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset
A painful element of real data is that it tends to be imbalanced.
Human Face Recognition from Part of a Facial Image based on Image Stitching
Most of the current techniques for face recognition require the presence of a full face of the person to be recognized, and this situation is difficult to achieve in practice, the required person may appear with a part of his face, which requires prediction of the part that did not appear.
Natural Image Stitching Using Depth Maps
Then, we draw a triangulation of the target image and estimate multiple local homographies, one per triangle, based on the locations of their vertices, the rectified depth values and the epipolar geometry.
Automatic Color Image Stitching Using Quaternion Rank-1 Alignment
To quantitatively evaluate image stitching performance, we propose a perceptual seam quality (PSQ) measure to calculate misalignments of local regions along the seamline.
Pixel-wise Deep Image Stitching
In this paper, instead of relying on the homography-based warp, we propose a novel deep image stitching framework exploiting the pixel-wise warp field to handle the large-parallax problem.
Probabilistic Spatial Distribution Prior Based Attentional Keypoints Matching Network
Keypoints matching is a pivotal component for many image-relevant applications such as image stitching, visual simultaneous localization and mapping (SLAM), and so on.
