{"id":"W2110483288","doi":"10.1109/cvpr.2010.5540002","title":"Non-rigid structure from locally-rigid motion","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structure from motion; Motion (physics); Point (geometry); Rotation (mathematics); Computer science; Mathematics; Rigid body; Rigid transformation; Computer vision; Artificial intelligence; Geometry; Algorithm; Physics; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005157081,0.001117939,0.001138633,0.0007893945,0.0004907264,0.0009496074,0.001650503,0.001621539,0.004101037],"category_scores_gemma":[0.002182512,0.0006981988,0.001506605,0.0008654597,0.001243152,0.001972406,0.002813097,0.001956073,0.001378362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004557048,"about_ca_system_score_gemma":0.0007826903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195202,"about_ca_topic_score_gemma":0.002743229,"domain_scores_codex":[0.9995036,0.00007875011,0.00002200999,0.0001659184,0.0001834965,0.00004612039],"domain_scores_gemma":[0.9995402,0.0001589477,0.00008256186,0.0001302796,0.00005438506,0.00003368816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009125193,0.00004159998,0.000728044,0.0003199289,0.00007969586,0.0003656009,0.000388482,0.6092666,0.02475287,0.1728116,0.004368833,0.1867855],"study_design_scores_gemma":[0.00001421475,0.00005536571,0.0002777517,0.00002334226,0.00001421251,0.0002122413,0.00004285751,0.8956567,0.003568431,0.09378976,0.006321504,0.00002362667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002435777,0.00009149509,0.9964982,0.00006068532,0.00001390851,0.00001426912,0.00004528385,0.0001219701,0.0007183238],"genre_scores_gemma":[0.1686627,0.0005237668,0.8234248,0.0001591698,0.0001406067,0.0001671545,0.0007242057,0.0003754558,0.005822085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004101037,"threshold_uncertainty_score":0.01371932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004859882940757231,"score_gpt":0.2432881914031967,"score_spread":0.2384283084624395,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}