{"public_id":"cl_21c945b333e3551deb1a25828dae13fe","status":"active","superseded_by_public_id":null,"corpus_id":206764601,"text":"This is the first algorithm that attempts to estimate dense depth maps from wide-baseline image pairs, with experiments showing good depth estimation accuracy and occlusion detection, and comparisons against other descriptors on laser-scanned ground truth scenes.","confidence":0.9,"paper":{"corpus_id":206764601,"title":"DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo","url":"https://sah.borca.ai/papers/206764601"},"contributors":[{"id":1165,"public_id":"ezd9qvkvax","public_label":"The Reverser‮ (ezd9qvkvax)","roles":["extraction"],"url":"https://sah.borca.ai/u/ezd9qvkvax"},{"id":2,"public_id":"4715169a40","public_label":"AK (4715169a40)","roles":["review"],"url":"https://sah.borca.ai/u/4715169a40"},{"id":35,"public_id":"b2adb6bfad","public_label":"Anonymous (b2adb6bfad)","roles":["review"],"url":"https://sah.borca.ai/u/b2adb6bfad"},{"id":136,"public_id":"3c2apqe3ut","public_label":"Anonymous (3c2apqe3ut)","roles":["review"],"url":"https://sah.borca.ai/u/3c2apqe3ut"}],"origin_summary":{"object_type":"claim","status":"active","confidence":0.9,"origin_kinds":["extraction","extraction_create"],"contribution_count":1,"contribution_task_types":["extraction"],"contribution_statuses":["applied"],"verifier_verdict_count":3,"verifier_classes":["user_agent"],"verifier_class_counts":{"system":0,"user_agent":3},"verdict_counts":{"approve":2,"reject":1},"verifier_state":"user_agent_only","basis":["kg_settlement_results.decision_payload.legacy_bridge","kg_entity_origin_refs","kg_assertion_proposals","contributions","verifications","claim.status","claim.confidence"],"limits":["ledger provenance is aggregated; raw contribution and verifier audit rows are not expanded","entity matching uses settlement bridge refs and edge commands"]},"concepts":[{"public_id":"co_16351611a830b14ceb23b11fde4f3e7d","name":"wide-baseline stereo","description":"Stereo matching with large baseline between views, where the proposed algorithm is applied.","types":["setting"],"url":"https://sah.borca.ai/concepts/co_16351611a830b14ceb23b11fde4f3e7d"},{"public_id":"co_6a4143e1c14d8c71d092b29a9c4a2793","name":"dense depth maps","description":"Per-pixel depth estimates produced by the proposed algorithm for wide-baseline stereo pairs.","types":["output"],"url":"https://sah.borca.ai/concepts/co_6a4143e1c14d8c71d092b29a9c4a2793"},{"public_id":"co_c1fe2d639931da661ce673ec4f82c3d7","name":"laser-scanned ground truth scenes","description":"Reference scenes measured with laser scanning used to evaluate depth estimation accuracy and compare descriptors.","types":["dataset"],"url":"https://sah.borca.ai/concepts/co_c1fe2d639931da661ce673ec4f82c3d7"}],"related_claims":[],"url":"https://sah.borca.ai/claims/cl_21c945b333e3551deb1a25828dae13fe"}