Comparing Convex Region-of-Interest Selection Techniques for Surface Geometry
| Autor: | Bret Jackson, Brianna C. Heggeseth, Kayla Beckham, Anael Kuperwajs Cohen |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science Regular polygon Volume (computing) SwIPe 020207 software engineering 02 engineering and technology 3D modeling Region of interest 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Cube User interface business Algorithm Selection (genetic algorithm) |
| Zdroj: | 25th ACM Symposium on Virtual Reality Software and Technology. |
| Popis: | Selecting 3D regions-of-interest (ROI) in surface geometry is essential for 3D modeling, but few 3D user interfaces using fully manual input for ROI selection exist. Furthermore, their relative performance is not well studied. We present an evaluation comparing three ROI techniques: Volume Cube [Ulinski et al. 2007], Slice-n- Swipe [Bacim et al. 2014], and Yea Big Yea High Selection [Jackson et al. 2018]. Results show that Yea Big Yea High is best for tasks requiring high accuracy and speed, but modifications may be needed for use in dense geometry or with non-convex ROI. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|