A Novel Algorithm to Optimize View Quality for Multi-View Capture

Authors

• WL Huang

Abstract

The depth of field of a camera is a limiting factor for acquiring sharp visual information. Extending depth of
field is a technique to acquire multiple images at a single camera pose with different focus distances for an all-in-
focus image of a static object. However, an efficient way to arrange focus distances to optimize view quality for multi-
view capture remains a challenge. In this paper, we propose a novel algorithm to derive focus distances for each camera given the 3D shape of the target object and a set of camera poses. We assign every point sampled on the 3D shape uniquely to a camera and then solve an optimal focus distance for each camera given the associated point set. We validate the algorithm in simulation under different optimization objectives and camera configurations. We demonstrate the effectiveness of the algorithm for focus arrangement. The algorithm can be used in total body photography, archaeology, and other close-range photogrammetry applications that require visual details
and are limited to the depth of field.

Scientific Focus Area: Clinical Research

This page was last updated on Monday, September 25, 2023