Triangular Facet Approximation-Based Local-Adaptive Image Alignment PROJECT TITLE : Local-Adaptive Image Alignment Based on Triangular Facet Approximation ABSTRACT: Today, the primary challenge in panorama stitching research is achieving precise and efficient image alignment. Using triangular facet approximation, this work provides a local-adaptive picture alignment approach based on camera coordinates that is superior to the imaging model of cameras. When two weighting algorithms are combined to build a more robust planar transformation model, it becomes local-adaptive. The planar and spherical triangulation algorithms are introduced to align normal and fisheye photos more effectively by approximating the scene as a set of adjacent triangle faces. Both qualitative and quantitative tests on a variety of hard instances demonstrate the effectiveness of the proposed strategy. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Lossy Image Compression with Multiple Bits-per-Pixel Rates: Learning a Single Tucker Decomposition Network In Single Image Dehazing, Lower Bound on Transmission Using Non-Linear Bounding Function
