3D modeling from images and LiDAR (Light Detection And Ranging) has been an active
research area in the photogrammetry, computer vision, and computer graphics communities …

Despite significant research focus on 3D scene capture systems, numerous unresolved
challenges remain in relation to achieving full coverage scene depth estimation which is the …

The recent popularity of structured-light depth sensors has enabled many new applications
from gesture-based user interface to 3D reconstructions. The quality of the depth …

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 …

Mirrors are indispensable objects in our lives. The capability of simulating a mirror on a
computer display, augmented with virtual scenes and objects, opens the door to many …

Abstract 3D difference detection is the task to verify whether the 3D geometry of a real object
exactly corresponds to a 3D model of this object. We present an approach for 3D difference …

Current 3D video applications require the availability of high quality depth information.
Depth information can be acquired real-time by stereo vision systems and ToF cameras …

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 …

Depth estimation for dynamic scenes is a challenging and relevant problem in computer
vision. Although this problem can be tackled by means of ToF cameras or stereo vision …