Traditional color images only depict color intensities in red, green and blue channels, often
making object trackers fail in challenging scenarios, eg, background clutter and rapid …

Time-correlated imaging is an emerging sensing modality that has been shown to enable
promising application scenarios, including lidar ranging, fluorescence lifetime imaging, and …

Abstract Lithic Use-Wear Analysis (LUWA) using microscopic images is an underexplored
vision-for-science research area. It seeks to distinguish the worked material which is critical …

Robust and non-destructive material classification is a challenging but crucial first-step in
numerous vision applications. We propose a physics-guided material classification …

This paper introduces RFVibe, a system that enables contactless material and object
identification through the fusion of millimeter wave wireless signals with acoustic signals. In …

Augmented Reality (AR) has been proven beneficial to External Ventricular Drain (EVD)
surgery by providing in-situ visual guidance during operations. During this procedure, the …

Material perception is one of the several essential abilities required by robots, and it also
poses significant challenges in real‐world field applications. In harsh environments, the …

This paper presents a material classification method using an off-the-shelf Time-of-Flight
(ToF) camera. The proposed method is built upon a key observation that the depth …

Abstract 3D object geometry reconstruction remains a challenge when working with
transparent, occluded, or highly reflective surfaces. While recent methods classify shape …

Time-of-flight (ToF) cameras are active imaging sensors able to capture the 3-D geometry of
a scene. Objects can be then segmented and recognized from their 3-D geometry. Only very …