Feb. 13, 2024, 5:47 a.m. | Atharva Pandey Vishal Yadav Rajendra Nagar Santanu Chaudhury

cs.CV updates on arXiv.org arxiv.org

Implicit 3D surface reconstruction of an object from its partial and noisy 3D point cloud scan is the classical geometry processing and 3D computer vision problem. In the literature, various 3D shape representations have been developed, differing in memory efficiency and shape retrieval effectiveness, such as volumetric, parametric, and implicit surfaces. Radial basis functions provide memory-efficient parameterization of the implicit surface. However, we show that training a neural network using the mean squared error between the ground-truth implicit surface and …

cloud computer computer vision cs.cv efficiency functions geometry linear literature memory processing representation retrieval surface vision

Research Scholar (Technical Research)

@ Centre for the Governance of AI | Hybrid; Oxford, UK

HPC Engineer (x/f/m) - DACH

@ Meshcapade GmbH | Remote, Germany

Business Intelligence Analyst Lead

@ Zillow | Mexico City

Lead Data Engineer

@ Bristol Myers Squibb | Hyderabad

Big Data Solutions Architect

@ Databricks | Munich, Germany

Senior Data Scientist - Trendyol Seller

@ Trendyol | Istanbul (All)