Disney Research Pittsburgh

We propose a metric learning approach for joint class prediction and pose estimation.

This paper proposes photogeometric scene flow (PGSF) for high-quality dynamic 3D reconstruction.

In this paper, we analyze the illumination requirements for single-day outdoor PS to yield stable normal reconstructions, and determine that these requirements are often available in much less than a full day.

We propose a method for reducing noise in images created by any tone mapping operator.

We introduce the tactile animation object, a directly manipulated phantom tactile sensation.

We call our technique EM-Sense and built a proof-of-concept smartwatch implementation.

We propose an alternating optimization procedure that estimates lower body orientations and detects groups of interacting people.

The purpose of this research is the development of a soft skin module with a built-in airtight cavity in which air pressure can be sensed.

In this work we propose using battery-free RFID sensor tags enhanced with on-board cameras to enable a network of distributed tags to optically determine the 3D location and pose of each camera tag given known reference tags enhanced with LEDs.

We introduce Power of 2 (Po2), a new haptic technology that augments illusive tactile sensations on gesture-based gameplays.