Skip to content

wliusjtu/Color-guided-Depth-Recovery-from-RGB-D-Data-Using-an-Adaptive-Auto-regressive-Model

View on GitHub ↗Related repositories →

This is the C implementation of the paper "Color-guided Depth Recovery from RGB-D Data Using an Adaptive Auto-regressive Model" in TIP 2014. It is the same as the MATLAB source code provided by the author. However, it can run much faster and can handle much larger depth maps.

active 2024-03-18 → 2024-11-15 (UTC)

Complete coverage27,508 / 27,508 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-04 (UTC)
Events
2
Pushes
0
Pull requests
0
Issues
0
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 243 days from 2024-03-18 to 2024-11-15. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.