Casper DPM: Cascaded Perceptual Dynamic Projection Mapping onto Hands

TL;DR

Casper DPM introduces a real-time 3D hand projection technique that combines coarse 3D estimation with high-speed 2D corrections, reducing latency and enabling textured projections for interactive applications.

Contribution

The paper presents a novel cascaded approach for dynamic hand projection mapping that improves alignment and reduces perceived latency, enabling textured 3D content projection onto hands.

Findings

Subjects experienced less latency perception.

Participants performed tasks faster and more easily.

The method enables textured 3D projections on hands.

Abstract

We present a technique for dynamically projecting 3D content onto human hands with short perceived motion-to-photon latency. Computing the pose and shape of human hands accurately and quickly is a challenging task due to their articulated and deformable nature. We combine a slower 3D coarse estimation of the hand pose with high speed 2D correction steps which improve the alignment of the projection to the hands, increase the projected surface area, and reduce perceived latency. Since our approach leverages a full 3D reconstruction of the hands, any arbitrary texture or reasonably performant effect can be applied, which was not possible before. We conducted two user studies to assess the benefits of using our method. The results show subjects are less sensitive to latency artifacts and perform faster and with more ease a given associated task over the naive approach of directly projecting rendered frames from the 3D pose estimation. We demonstrate several novel use cases and applications.