# PanoBasic **Repository Path**: vanlemon/PanoBasic ## Basic Information - **Project Name**: PanoBasic - **Description**: Matlab Toolbox for Panorama Image Processing - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-03-31 - **Last Updated**: 2024-12-13 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Toolbox for panorama image processing This toolbox provides useful functions to process panorama images. Please see **Quick start** below for details. If using this code as parts of your project, please cite: Y. Zhang, S. Song, P. Tan, and J. Xiao PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding Proceedings of the 13th European Conference on Computer Vision (ECCV2014) @article{zhang2014panocontext, title={Panocontext: A whole-room 3d context model for panoramic scene understanding}, author={Zhang, Yinda and Song, Shuran and Tan, Ping and Xiao, Jianxiong}, booktitle={European Conference on Computer Vision}, pages={668--686}, year={2014}, organization={Springer} } If you have any question about the code, please feel free to contact: Yinda Zhang, yindaz at gmail. ## Quick start: Run `demo_full.m` to see an "almost" complete list of functions in this toolbox. Some (not all) featured functions are: - Combine perspective images to a panorama. - Project a region on panorama to a perspective image. - Line segment detection. - Color segmentation. - Find vanishing point. - Reconstruct 3D cuboid. For a full list of functions, please see `instruction.pdf`. ## Matterport3D support: Run `demo_matterport.m` to see how to stitch panorama for Matterport3D dataset. Note that: - If you wish to have seamless good looking color panorama, you should stitch skybox images. - If you wish to have aligned color and depth panorama, you should stitch undistorted_color/depth_images. If you stitch from undistorted_color/depth_images: - The color panorama from undistorted_color_images may contain visible artifacts near stitching boundaries because of different exposure between images. - The demo only takes the 6 horizontal views as example, and assumes 60 degrees between each pair of adjacent views. This may not be true in practice, and a perfectly accurate panorama stitching requires accurate calculation of (vx,vy) from camera extrinsic matrices. - Given more accurate (vx/vy) calculated for upward/downward looking views, you may stitch 18 views together for a more complete panorama. ## FAQ: Q: Windows users will get an error when calling function "lsdWrap.m". A: The Windows command line does not support '/'. Please change all '/' in commands line to '\\' before sending them to "system" function in Matlab. ## License: This toolbox is under the MIT License: http://opensource.org/licenses/MIT.