{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:3HQIBZKK4ET4ODI42S2YL7DETJ","short_pith_number":"pith:3HQIBZKK","schema_version":"1.0","canonical_sha256":"d9e080e54ae127c70d1cd4b585fc649a747b28b7c0b16b5c50ada49f35272a3c","source":{"kind":"arxiv","id":"2010.02505","version":1},"attestation_state":"computed","paper":{"title":"Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boris N. Oreshkin, Tal Arbel","submitted_at":"2020-10-02T13:43:50Z","abstract_excerpt":"This paper presents an approach to fast image registration through probabilistic pixel sampling. We propose a practical scheme to leverage the benefits of two state-of-the-art pixel sampling approaches: gradient magnitude based pixel sampling and uniformly random sampling. Our framework involves learning the optimal balance between the two sampling schemes off-line during training, based on a small training dataset, using particle swarm optimization. We then test the proposed sampling approach on 3D rigid registration against two state-of-the-art approaches based on the popular, publicly avail"},"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":"2010.02505","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-02T13:43:50Z","cross_cats_sorted":[],"title_canon_sha256":"5dac4640e82fee1def47d4aaf3dbe16486c61a3efdcbc9da664052d5c825e9b3","abstract_canon_sha256":"d4c9f04820a7dd6b7d10967200c2a1355cd1477afaa4e473b85724dab0a5d074"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:40:50.707750Z","signature_b64":"6yGlJeH3kwWXx5uB51cRt5dHcP5S4uTqxE/73pNRptLWFvixTlzOy4cWGNSbGvWPYXh7vRoNqD/B8PoQqA5mAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9e080e54ae127c70d1cd4b585fc649a747b28b7c0b16b5c50ada49f35272a3c","last_reissued_at":"2026-07-05T01:40:50.707308Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:40:50.707308Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimization over Random and Gradient Probabilistic Pixel Sampling for Fast, Robust Multi-Resolution Image Registration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boris N. Oreshkin, Tal Arbel","submitted_at":"2020-10-02T13:43:50Z","abstract_excerpt":"This paper presents an approach to fast image registration through probabilistic pixel sampling. We propose a practical scheme to leverage the benefits of two state-of-the-art pixel sampling approaches: gradient magnitude based pixel sampling and uniformly random sampling. Our framework involves learning the optimal balance between the two sampling schemes off-line during training, based on a small training dataset, using particle swarm optimization. We then test the proposed sampling approach on 3D rigid registration against two state-of-the-art approaches based on the popular, publicly avail"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.02505","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/2010.02505/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":"2010.02505","created_at":"2026-07-05T01:40:50.707435+00:00"},{"alias_kind":"arxiv_version","alias_value":"2010.02505v1","created_at":"2026-07-05T01:40:50.707435+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.02505","created_at":"2026-07-05T01:40:50.707435+00:00"},{"alias_kind":"pith_short_12","alias_value":"3HQIBZKK4ET4","created_at":"2026-07-05T01:40:50.707435+00:00"},{"alias_kind":"pith_short_16","alias_value":"3HQIBZKK4ET4ODI4","created_at":"2026-07-05T01:40:50.707435+00:00"},{"alias_kind":"pith_short_8","alias_value":"3HQIBZKK","created_at":"2026-07-05T01:40:50.707435+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/3HQIBZKK4ET4ODI42S2YL7DETJ","json":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ.json","graph_json":"https://pith.science/api/pith-number/3HQIBZKK4ET4ODI42S2YL7DETJ/graph.json","events_json":"https://pith.science/api/pith-number/3HQIBZKK4ET4ODI42S2YL7DETJ/events.json","paper":"https://pith.science/paper/3HQIBZKK"},"agent_actions":{"view_html":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ","download_json":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ.json","view_paper":"https://pith.science/paper/3HQIBZKK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2010.02505&json=true","fetch_graph":"https://pith.science/api/pith-number/3HQIBZKK4ET4ODI42S2YL7DETJ/graph.json","fetch_events":"https://pith.science/api/pith-number/3HQIBZKK4ET4ODI42S2YL7DETJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/action/storage_attestation","attest_author":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/action/author_attestation","sign_citation":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/action/citation_signature","submit_replication":"https://pith.science/pith/3HQIBZKK4ET4ODI42S2YL7DETJ/action/replication_record"}},"created_at":"2026-07-05T01:40:50.707435+00:00","updated_at":"2026-07-05T01:40:50.707435+00:00"}