National Natural Science Foundation of China,Grant/Award Numbers:51809290,51979093,52239009;Project funded by Tibet Autonomous Region Key R&D Plan,Grant/Award Number:XZ202101ZY0002G;Postgraduate Research&Practice Innovation Program of Jiangsu Province,Grant/Award Number:No.KYCX22_0656。
This study aims to develop a high-precision and cost-efficient method for the threedimensional reconstruction of large particles in natural gravel and blasted rock fragments,utilizing Structure from Motion(SfM)and Mul...
supported by ZTE Industry University Institute Cooperation Funds under Grant No.HCCN20221102002.
Three-dimensional reconstruction technology plays an important role in indoor scenes by converting objects and structures in indoor environments into accurate 3D models using multi-view RGB images.It offers a wide ran...
supported by the Zhengzhou Collaborative Innovation Major Project under Grant No.20XTZX06013;the Henan Provincial Key Scientific Research Project of China under Grant No.22A520042。
Traditional neural radiance fields for rendering novel views require intensive input images and pre-scene optimization,which limits their practical applications.We propose a generalization method to infer scenes from ...