This paper focuses on data fusion, which is fundamental to one of the most important
modules in any autonomous system: perception. Over the past decade, there has been a …

Due to the demand for depth maps of higher quality than possible with a single depth
imaging technique today, there has been an increasing interest in the combination of …

Semantic scene completion (SSC) aims to jointly estimate the complete geometry and
semantics of a scene, assuming partial sparse input. In the last years following the …

In this paper we propose a framework for the fusion of depth data produced by a Time-of-
Flight (ToF) camera and stereo vision system. Initially, depth data acquired by the ToF …

This paper proposes a novel framework for the fusion of depth data produced by a Time-of-
Flight (ToF) camera and a stereo vision system. The key problem of balancing between the …

Time-of-Flight (ToF) sensors and stereo vision systems are two widely used technologies for
depth estimation. Due to their rather complementary strengths and limitations, the two …

A new stream of research and development responds to changes in life expectancy across
the world. It includes technologies which enhance well-being of individuals, specifically for …

In this paper, we propose variational fusion of time-of-flight (TOF) and stereo data for depth
estimation using edge-selective joint filtering (ESJF). ESJF is able to adaptively select edges …

This paper addresses the problem of range-stereo fusion, for the construction of high-
resolution depth maps. In particular, we combine low-resolution depth data with high …

This paper proposes a method for fusing data acquired by a ToF camera and a stereo pair
based on a model for depth measurement by ToF cameras which accounts also for depth …