{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:AYPZKYKY77UHTCGANNB7TMQKVV","short_pith_number":"pith:AYPZKYKY","schema_version":"1.0","canonical_sha256":"061f956158ffe87988c06b43f9b20aad585da04615c83b44e86384485a1f6d6e","source":{"kind":"arxiv","id":"2206.10375","version":1},"attestation_state":"computed","paper":{"title":"MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mansi Sharma, Rithvik Anil, Rohit Choudhary, Uma T V","submitted_at":"2022-06-21T13:23:22Z","abstract_excerpt":"Display technologies have evolved over the years. It is critical to develop practical HDR capturing, processing, and display solutions to bring 3D technologies to the next level. Depth estimation of multi-exposure stereo image sequences is an essential task in the development of cost-effective 3D HDR video content. In this paper, we develop a novel deep architecture for multi-exposure stereo depth estimation. The proposed architecture has two novel components. First, the stereo matching technique used in traditional stereo depth estimation is revamped. For the stereo depth estimation component"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2206.10375","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-21T13:23:22Z","cross_cats_sorted":[],"title_canon_sha256":"4d04dbaf6d51ae9d566006bef18ae9fbad416e9f7228637b32d7a0b7c7c98b85","abstract_canon_sha256":"18e30411c2db69d5a760c9d4360e537c548221c6069983fc6505c37fdd8877be"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:33:46.999406Z","signature_b64":"X0WZejNGI03rHUJHJHyIhdInclZWOLRnDJH0dHPQQxEYSUQfGyfobiit1lLJEHuU8QCWrBDKGVTxhYUU0kDgBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"061f956158ffe87988c06b43f9b20aad585da04615c83b44e86384485a1f6d6e","last_reissued_at":"2026-07-05T04:33:46.999003Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:33:46.999003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MEStereo-Du2CNN: A Novel Dual Channel CNN for Learning Robust Depth Estimates from Multi-exposure Stereo Images for HDR 3D Applications","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mansi Sharma, Rithvik Anil, Rohit Choudhary, Uma T V","submitted_at":"2022-06-21T13:23:22Z","abstract_excerpt":"Display technologies have evolved over the years. It is critical to develop practical HDR capturing, processing, and display solutions to bring 3D technologies to the next level. Depth estimation of multi-exposure stereo image sequences is an essential task in the development of cost-effective 3D HDR video content. In this paper, we develop a novel deep architecture for multi-exposure stereo depth estimation. The proposed architecture has two novel components. First, the stereo matching technique used in traditional stereo depth estimation is revamped. For the stereo depth estimation component"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.10375","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2206.10375/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2206.10375","created_at":"2026-07-05T04:33:46.999067+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.10375v1","created_at":"2026-07-05T04:33:46.999067+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.10375","created_at":"2026-07-05T04:33:46.999067+00:00"},{"alias_kind":"pith_short_12","alias_value":"AYPZKYKY77UH","created_at":"2026-07-05T04:33:46.999067+00:00"},{"alias_kind":"pith_short_16","alias_value":"AYPZKYKY77UHTCGA","created_at":"2026-07-05T04:33:46.999067+00:00"},{"alias_kind":"pith_short_8","alias_value":"AYPZKYKY","created_at":"2026-07-05T04:33:46.999067+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV","json":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV.json","graph_json":"https://pith.science/api/pith-number/AYPZKYKY77UHTCGANNB7TMQKVV/graph.json","events_json":"https://pith.science/api/pith-number/AYPZKYKY77UHTCGANNB7TMQKVV/events.json","paper":"https://pith.science/paper/AYPZKYKY"},"agent_actions":{"view_html":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV","download_json":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV.json","view_paper":"https://pith.science/paper/AYPZKYKY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.10375&json=true","fetch_graph":"https://pith.science/api/pith-number/AYPZKYKY77UHTCGANNB7TMQKVV/graph.json","fetch_events":"https://pith.science/api/pith-number/AYPZKYKY77UHTCGANNB7TMQKVV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV/action/storage_attestation","attest_author":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV/action/author_attestation","sign_citation":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV/action/citation_signature","submit_replication":"https://pith.science/pith/AYPZKYKY77UHTCGANNB7TMQKVV/action/replication_record"}},"created_at":"2026-07-05T04:33:46.999067+00:00","updated_at":"2026-07-05T04:33:46.999067+00:00"}