{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:FQP66YMWWNULFHFQGEIKCPOCNJ","short_pith_number":"pith:FQP66YMW","schema_version":"1.0","canonical_sha256":"2c1fef6196b368b29cb03110a13dc26a58aa4553de128618a9b52d7f9c87d219","source":{"kind":"arxiv","id":"1907.09128","version":1},"attestation_state":"computed","paper":{"title":"Real-time Background-aware 3D Textureless Object Pose Estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Danhang Tang, Mang Shao, Tae-Kyun Kim","submitted_at":"2019-07-22T04:31:45Z","abstract_excerpt":"In this work, we present a modified fuzzy decision forest for real-time 3D object pose estimation based on typical template representation. We employ an extra preemptive background rejector node in the decision forest framework to terminate the examination of background locations as early as possible, result in a significantly improvement on efficiency. Our approach is also scalable to large dataset since the tree structure naturally provides a logarithm time complexity to the number of objects. Finally we further reduce the validation stage with a fast breadth-first scheme. The results show t"},"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":"1907.09128","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-07-22T04:31:45Z","cross_cats_sorted":[],"title_canon_sha256":"b0edf66c60cb543ae940ca1c55503f42bffda85faa300f4bca68c7b70e63421a","abstract_canon_sha256":"0a62c55628b9f3bbe34cdd126e8e9e58b327d634af48019de0df70d8146208db"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:00.033300Z","signature_b64":"ej1FOUgyQMvdDG+lCoPKl69dhPPrCNUPQjM9jGNZnXK7/RiEvcnWD3NCIVLJNqLz9ZeTk4meNRDWgX89bZozAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c1fef6196b368b29cb03110a13dc26a58aa4553de128618a9b52d7f9c87d219","last_reissued_at":"2026-05-17T23:40:00.032808Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:00.032808Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Real-time Background-aware 3D Textureless Object Pose Estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Danhang Tang, Mang Shao, Tae-Kyun Kim","submitted_at":"2019-07-22T04:31:45Z","abstract_excerpt":"In this work, we present a modified fuzzy decision forest for real-time 3D object pose estimation based on typical template representation. We employ an extra preemptive background rejector node in the decision forest framework to terminate the examination of background locations as early as possible, result in a significantly improvement on efficiency. Our approach is also scalable to large dataset since the tree structure naturally provides a logarithm time complexity to the number of objects. Finally we further reduce the validation stage with a fast breadth-first scheme. The results show t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.09128","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":""},"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":"1907.09128","created_at":"2026-05-17T23:40:00.032889+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.09128v1","created_at":"2026-05-17T23:40:00.032889+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.09128","created_at":"2026-05-17T23:40:00.032889+00:00"},{"alias_kind":"pith_short_12","alias_value":"FQP66YMWWNUL","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"FQP66YMWWNULFHFQ","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"FQP66YMW","created_at":"2026-05-18T12:33:15.570797+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/FQP66YMWWNULFHFQGEIKCPOCNJ","json":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ.json","graph_json":"https://pith.science/api/pith-number/FQP66YMWWNULFHFQGEIKCPOCNJ/graph.json","events_json":"https://pith.science/api/pith-number/FQP66YMWWNULFHFQGEIKCPOCNJ/events.json","paper":"https://pith.science/paper/FQP66YMW"},"agent_actions":{"view_html":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ","download_json":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ.json","view_paper":"https://pith.science/paper/FQP66YMW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.09128&json=true","fetch_graph":"https://pith.science/api/pith-number/FQP66YMWWNULFHFQGEIKCPOCNJ/graph.json","fetch_events":"https://pith.science/api/pith-number/FQP66YMWWNULFHFQGEIKCPOCNJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ/action/storage_attestation","attest_author":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ/action/author_attestation","sign_citation":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ/action/citation_signature","submit_replication":"https://pith.science/pith/FQP66YMWWNULFHFQGEIKCPOCNJ/action/replication_record"}},"created_at":"2026-05-17T23:40:00.032889+00:00","updated_at":"2026-05-17T23:40:00.032889+00:00"}