Aiming at the problem of single stitching scenes (ordered or disordered images), which are time-consuming and involve complex computation during image stitching, a multi-scene method based on merge sorting is proposed called merge-sorting (MSIS). We established an model sorting, directly matched images without traversing all them. Compared with traditional method, this significantly reduces com...

Image stitching computes geometric transforms to align images based on the best fit of feature correspondences between overlapping images. Seam-cutting is used afterwards to to hide misalignment artifacts. Interestingly it is often the seam-cutting step that is the most crucial for obtaining a perceptually seamless result. This motivates us to propose a seam-driven image stitching strategy wher...

An image stitching is a method of combining multiple overlapping images of the same scene into a larger image without loss of information. Literature shows the use of various corner detection algorithms in image stitching. The most widely used are Harris corner detection method and SIFTS (Scale Invariant Feature Transform) method. In this paper, a comparative study is done forHarris corner dete...

This paper proposes a semi-automatic image-based approach for 3-dimensional (3D) modeling of buildings along streets. Image-based urban 3D modeling techniques are typically based on the use of aerial and ground-level images. The aerial image of the relevant area is extracted from publically available sources in Google Maps by stitching together different patches of the map. Panoramic images are...

Image stitching algorithms often adopt the global transformation, such as homography, and work well for planar scenes or parallax free camera motions. However, these conditions are easily violated in practice. With casual camera motions, variable taken views, large depth change, or complex structures, it is a challenging task for stitching these images. The global transformation model often pro...

With the development of satellite technology, the application of remote sensing images becomes more and more significant. The coverage of a single remote sensing image is limited, so remote sensing images should be stitched into a larger image by overlapping region. SURF is a commonly algorithm for image mosaic, but the calculation of this algorithm is too heavy. Thus, we propose the method of ...

We present a set of coherent methods for the nearly automatic creation of 3D geometric models from large stacks of images of histological sections. Threedimensional surface models facilitate the visual analysis of 3D anatomy. They also form a basis for standardized anatomical atlases that allow researchers to integrate, accumulate and associate heterogeneous experimental information, like funct...

This paper presents a fast end extremely robust feature-based method for planar registration of partly overlapping images that uses a two-stage robust fitting approach comprising a fast estimation of a transformation hypothesis (that we show is highly likely to be correct) followed by a confirmation and refinement stage. The method is particularly suited for automatic stitching of oversize docu...

This paper presents a fast and extremely robust feature-based method for planar registration of partly overlapping images; it uses a two-stage robust fitting approach comprising a fast estimation of a transformation hypothesis (that we show is highly likely to be correct) followed by a confirmation and refinement stage. The method is particularly suited for automatic stitching of oversize docum...