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AliceVision Changelog

Release 2.1.0 (2019.01.30)

Release Notes Summary:

  • More complete sensor database and better matching as well as explicit status for lens initialization
  • Add support for rig of cameras. This enables to add more contraints if you make acquisition with multiple synchronized devices.
  • Support for reconstruction with projected light patterns and texturing with another images set.
  • Better estimation of the space to reconstruct to limit the reconstruction zone. This avoid to reconstruct low quality and useless areas around the main object/environment.
  • New option to directly mesh the SfM results. This provides a quick solution to get a draft mesh (without cuda requirement).
  • Reduce IO and intermediate files in MVS part of the pipeline.

Full Release Notes:

  • sensorDB: Update the sensors database with much more models
  • sensorDB: Use FocalLengthIn35mmFilm metadata as a fallback if available
  • sensorDB: Improve matching of metadata make/model with sensor database
  • CameraInit: New management of intrinsics (serial number, error/warning log) with an explicit InstrinsicInitMode enum
  • CameraInit: Fix intrinsics grouping with serial number as expected and add metadata "AliceVision::SensorWidth" (or "AliceVision::SensorWidthEstimated" if estimated from FocalLength/FocalLengthIn35mmFilm)
  • CameraInit: Explicit warning if serial number is missing
  • SfM: Add support for rig of cameras. This information is used as a new constraint in the SfM. This option can now be combined with localBA. You need to use a specific folder hierarchy in the input images files (for instance: “/my/dataset/rig/0/DSLR_0001.JPG”, “/my/dataset/rig/1/DSLR_0001.JPG”) to provide this information.
  • PrepareDenseScene: New imagesFolders option to override input images. This enables to use images with light patterns projected for SfM and MVS parts and do the Texturing with another set of images.
  • Meshing fusion: New option to use SfM landmarks (mesh from sparse point cloud) or combine them with depth maps
  • Meshing: Add option estimateSpaceFromSfM to better estimate the bounding box of the reconstruction and avoid useless reconstruction of the environment
  • MVS: Reduce IO and intermediate files. Use sfmData in the MVS pipeline (instead of MVS seeds, ini file) and do not export depthmap files before refine
  • ExportAnimatedCamera: Improved solution to export an SfM result into an animated camera
  • PrepareDenseScene: Remove hackish software CameraConnection (now properly done in PrepareDenseScene)
  • PrepareDenseScene: Allow parallelization on renderfarm
  • FeatureExtraction: Add grid filtering in AKAZE (to avoid unmanageable number of keypoints on well textured images)
  • DepthMap: Fix memory leak in SGMVolume
  • Meshing: Fix loading of OBJ with normals
  • System: Improve gpu detection and logging
  • DepthMap: Enable usage of multiple GPUs by default with an option to add a limit
  • DepthMap: Fuse estimate & refine in a single loop (fuse “computeDepthMapsPSSGM” with “refineDepthMaps”) and use the same image cache
  • DepthMap: Remove depthMapInfo files and use image metadata instead
  • DepthMap: Initial refactoring for better readability to prepare the optimization work
  • SfM: Refactoring of localBA (now fused with the standard BA code to avoid redundancy)
  • ConvertSfMFormat: Users can now specify a view whitelist to filter views
  • SfM: The user can provide only one image of the initial pair and it will choose the 2nd image automatically. This allows to ensure that the reconstruction start from a specific part of the scene without choosing the image pair manually.
  • SfMTransform: Allow to choose one view as the origin for the coordinate system
  • SfM Augmentation from known poses: When the sfm starts with existing cameras poses but without landmarks, it now does the triangulation first.
  • LightingEstimation: New module with preliminary low-level methods for lighting estimation (spherical harmonics)
  • MeshDenoising: Fix ignored parameter denoising outer iteration
  • Meshing: Bug fix (infinity loop) in Meshing when the BBox is empty
  • SfM LocalBA: reduce minimum number of images to use sparse BA (change threshold from 100 to 20) to speedup large reconstructions when localBA is used.
  • Minor build fix for compatibility with ceres 2.

Release 2.0.0 (2018.08.09)

Release of the full 3D reconstruction pipeline.

2018.07

  • New Docker images for Centos 7 and Ubuntu 18
  • New "make bundle" for packaging
  • Refactor split sfm / sfmData / sfmDataIO
  • New visibility remapping methods: Push, PullPush
  • Improve texturing quality with better image selection
  • SfM support multiple folders for features and matches
  • PopSiftImageDescriber: no initialization if not used
  • Offline camera tracking improvements
  • Export animated camera ABC
  • Export undistorted images and filter option
  • MeshroomMaya script integration Image Plane
  • Minor fixes in cameraSensors DB search
  • New fallback if no sensor width info available but FocalLengthIn35mmFilm metadata is present
  • ImageMatchingMultiSfM: add “a_a+a_b” option

2018.06

  • SfM Augmentation: lock cameras from the initial reconstruction
  • SfM: Add option in order to disable the cleaning of tracks forks

2018.03

  • Merge the MVS pipeline in the main branch
  • New options for better auto UVs based on geogram (needs reasonable mesh size in input)
  • Use full resolution images in the MVS pipeline: PrepareDenseScene creates full resolution undistorted images, DepthMap computes downscale when loading images and Texturing can be done in full resolution.
  • New depth map fusion with a multi-scale approach (using nanoflann)
  • ImageMatching: Fix conflict if multiple images with the same UID
  • Add SIFT_UPRIGHT as an ImageDescriber

Release 1.0.0 (2018.03.07)

Release of the Structure-From-Motion pipeline.

2018.02

  • Support Raw and Exr input files
  • Texturing: add multithreading / clean iteration over pixels in triangle
  • MVS: use UIDs
  • Major MVS refactoring
  • New Mesh Denoiser and Decimate based on MeshSDFilter
  • Integration of Uncertainty computation step

2018.01

  • Meshing: Remove facets with helper points but limit holes creation
  • Texturing: Don’t modify the topology
  • Meshing: Add an option to keep only the largest facets group
  • cmake: Geogram as a submodule of cmpmvs
  • Update SfM
  • Modify Image Matching
  • SfM Reorientation software
  • Use OpenMP for featureExtraction with a new imageDescriber memory needs estimation
  • Rewrite “Identify the track to triangulate” in triangulateMultiViews_LORANSAC
  • popSIFT directly on floating point images
  • Use relative path for features and matches in SfM
  • Remove cereal dependency
  • Remove static functions in headers
  • MVS: Add namespace per module
  • MVS: Build as dynamic libraries
  • MVS: Remove unneeded intermediate images

2017.12

  • Reduce the amount of storage for intermediate files and improve robustness to kill/restart jobs on renderfarm
  • New software to create simplified versions of the mesh
  • Use OpenImageIO in MVS
  • Use floating point image in texturing

2017.11

  • New Local Bundle Adjustment to speedup SfM on large scenes
  • Retexturing on an external user mesh with a retopology (no visibility information and support user UVs) with a first visibilities remapping method.
  • Add new images to a previous SfM reconstruction
  • Use OpenImageIO in SfM

2017.10

  • Reduce memory usage on Meshing

2017.10

  • SfM: Support for RIG of synchronized cameras/DSLR with a new constraint between rigidly fixed cameras
  • New software utility for 360° cameras

2017.08

  • Tetrahedralization scoring with boost maxflow

2017.07

  • Meshing tetrahedralization with geogram
  • Texturing speedup
  • Rewrite CUDA layer

2017.06

  • SfM: Weighting on image describers to combine them correctly

2017.03

  • MVS: Support for multiple image resolutions

2017.02

  • MVS: Code comments and documentation
  • MVS: Performance improvements
  • Texturing: Fix UV coords
  • MVS: Split Meshing and Texturing steps
  • Texturing: Rewrite edge padding for performance reasons

2017.01

  • MVS: Linux code porting

2016

  • Integration of PopSift: a new GPU SIFT implementation
  • SfM: Add LoRansac
  • SfM: New next best view strategy to promote good repartition in images. Same rule in image pair selection.
  • SfM: Optional filtering of the input tracks with a minimal track length
  • SfM: Optional limitation on the number of input matches from an image pair
  • Sort features and matches
  • FeatureExtraction: Limit the number of features per image with grid filtering to ensure good repartition
  • New software to align reconstructions based on common cameras (using UID)

2015

  • New Alembic file format to store sparse point cloud and cameras
  • Integration of new CCTag markers with CPU and CPU implementations
  • SfM use UID
  • Support for cameras RIG calibration and localization based on opengv
  • Camera lens calibration based on opencv
  • New camera localization module
  • SfM speedup by precomputing tracks visibilities and adjusting BA thresholds
  • New Image Matching based on vocabulary tree approach
  • Features extraction and features matching parallelization on multiple computers for renderfarm usage

2014

  • First public source code release of the SfM pipeline