TLDRai.com Too Long; Didn't Read AI TLDWai.com Too Long; Didn't Watch AI
Ita zvipfupiso zvisingaperi neAI!
Simudzira kuPRO US$ 7.0/m
Hapana mabasa anorambidzwa

None

Se-Won Jeong and Jae-Young Sim are researchers interested in detecting areas of high saliency in 3D models. They surveyed various methods, including global rarity, mesh saliency, and surface regions of interest. They found that considering the observer's viewpoint is crucial, as different views can result in different areas of high saliency. Jeong and Sim propose a new method based on semi-regular meshes, which are efficient yet provide accurate results. Their approach combines global rarity and mesh saliency to detect areas of high saliency in 3D surfaces. The authors demonstrated their method's effectiveness through experiments using hand shape and face datasets. Their work contributes to the field of saliency detection for 3D models by emphasizing viewpoint importance and proposing an efficient new method based on semi-regular meshes.
Vashandisi vePRO vanowana Yepamusoro Hunhu zvipfupiso
Simudzira kuPRO US$ 7.0/m
Hapana mabasa anorambidzwa
None
Pfupisa zvinyorwa Pfupisa mavara kubva mufaira Pfupisa zvinyorwa kubva pawebhusaiti

Wana zvirinani zvinobuda zvine zvimwe zvinhu

Iva PRO


Pfupiso dzinoenderana