Sara Rolfe
Biographic Data
| ID | 5207580 |
|---|---|
| NAME | Sara Rolfe |
| GIVEN NAMES | Sara |
| FAMILY NAME | Rolfe |
| SIGNATURE | ROLFE S |
| AFFILIATIONS | Friday Harbor Labs University of Washington Friday Harbor Washington USA |
| ORCID | 0000-0001-9514-7774 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Comparing semi‐landmarking approaches for analyzing three‐dimensional cranial morphology
OBJECTIVES: Increased use of three-dimensional (3D) imaging data has led to a need for methods capable of capturing rich shape descriptions. Semi-landmarks have been demonstrated to increase shape information but placement in 3D can be time consuming, computationally expensive, or may introduce artifacts. This study implements and compares three strategies to more densely sample a 3D image surface. MATERIALS AND METHODS: Three dense sampling stra…
Comparing semi‐landmarking approaches for analyzing three‐dimensional cranial morphology
OBJECTIVES: Increased use of three-dimensional (3D) imaging data has led to a need for methods capable of capturing rich shape descriptions. Semi-landmarks have been demonstrated to increase shape information but placement in 3D can be time consuming, computationally expensive, or may introduce artifacts. This study implements and compares three strategies to more densely sample a 3D image surface. MATERIALS AND METHODS: Three dense sampling stra…
Comparing semi‐landmarking approaches for analyzing three‐dimensional cranial morphology
OBJECTIVES: Increased use of three-dimensional (3D) imaging data has led to a need for methods capable of capturing rich shape descriptions. Semi-landmarks have been demonstrated to increase shape information but placement in 3D can be time consuming, computationally expensive, or may introduce artifacts. This study implements and compares three strategies to more densely sample a 3D image surface. MATERIALS AND METHODS: Three dense sampling stra…
Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · Computer vision (1 works) · Image (mathematics) (1 works) · Landmark (1 works) · Morphological variations and asymmetry (1 works) · Noise (video) (1 works) · Outlier (1 works) · Pattern recognition (psychology) (1 works)