{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/evaluation-of-cnn-based-single-image-depth","title":"Evaluation of CNN-based Single-Image Depth Estimation Methods","arxiv_id":"1805.01328","date":"2018-05-03","proceeding":null,"authors":["Tobias Koch","Lukas Liebel","Friedrich Fraundorfer","Marco Körner"],"abstract":"While an increasing interest in deep models for single-image depth estimation\nmethods can be observed, established schemes for their evaluation are still\nlimited. We propose a set of novel quality criteria, allowing for a more\ndetailed analysis by focusing on specific characteristics of depth maps. In\nparticular, we address the preservation of edges and planar regions, depth\nconsistency, and absolute distance accuracy. In order to employ these metrics\nto evaluate and compare state-of-the-art single-image depth estimation\napproaches, we provide a new high-quality RGB-D dataset. We used a DSLR camera\ntogether with a laser scanner to acquire high-resolution images and highly\naccurate depth maps. Experimental results show the validity of our proposed\nevaluation protocol.","url_abs":"http://arxiv.org/abs/1805.01328v1","url_pdf":"http://arxiv.org/pdf/1805.01328v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"depth-estimation","task_name":"Depth Estimation"}],"methods":[],"datasets_introduced":[{"slug":"ibims-1","name":"IBims-1","full_name":"Independent benchmark images and matched scans v1"}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.01328","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}