This paper describes a novel method to acquire depth images using a pair of ToF (Time of Flight) cameras. As opposed to approaches that filter, calibrate or do 3D reconstructions posterior to the image acquisition, we combine the measurements of the two cameras within a modified acquisition procedure. The new proposed stereo-ToF acquisition is composed of three stages during which we actively modify the infrared lighting of the scene: first, the two cameras emit an infrared signal one after the other (stages 1 and 2), and then, simultaneously (stage 3). Assuming the scene is static during the three stages, we gather the depth measurements obtained with both cameras and define a cost function to optimize the two depth images. A qualitative a...
Time-of-Flight (ToF) sensors and stereo vision systems are two of the most diffused depth acquisitio...
The successful revival of three-dimensional (3D) cinema has generated a great deal of interest in 3D...
At the current stage of technology, depth maps acquired using cameras based on a time-of-flight prin...
Artículo de publicación ISIThis paper describes a novel method to acquire depth images using a pair ...
We present a novel system which incorporates photo-metric stereo with the Time-of-Flight depth senso...
Due to the demand for depth maps of higher quality than possible with a single depth imaging techniq...
An important field of research in computer vision is the 3D analysis and reconstruction of objects a...
Current 3D video applications require the availability of depth information, that can be acquired re...
In this paper we propose a framework for the fusion of depth data produced by a Time-of-Flight (ToF)...
3D video applications usually require the availability of high resolution depth and color informatio...
International audienceThis book describes a variety of recent research into time-of-flight imaging. ...
Abstract. Time-of-flight (ToF) cameras are becoming more and more popular in computer vision. In man...
Recently, there has been remarkable growth of interest in the development and applications of time-o...
Time-of-flight (ToF) cameras are an evolving technology, finding applications in a wide range of fie...
Depth estimation for dynamic scenes is a challenging and relevant problem in computer vision. Althou...
Time-of-Flight (ToF) sensors and stereo vision systems are two of the most diffused depth acquisitio...
The successful revival of three-dimensional (3D) cinema has generated a great deal of interest in 3D...
At the current stage of technology, depth maps acquired using cameras based on a time-of-flight prin...
Artículo de publicación ISIThis paper describes a novel method to acquire depth images using a pair ...
We present a novel system which incorporates photo-metric stereo with the Time-of-Flight depth senso...
Due to the demand for depth maps of higher quality than possible with a single depth imaging techniq...
An important field of research in computer vision is the 3D analysis and reconstruction of objects a...
Current 3D video applications require the availability of depth information, that can be acquired re...
In this paper we propose a framework for the fusion of depth data produced by a Time-of-Flight (ToF)...
3D video applications usually require the availability of high resolution depth and color informatio...
International audienceThis book describes a variety of recent research into time-of-flight imaging. ...
Abstract. Time-of-flight (ToF) cameras are becoming more and more popular in computer vision. In man...
Recently, there has been remarkable growth of interest in the development and applications of time-o...
Time-of-flight (ToF) cameras are an evolving technology, finding applications in a wide range of fie...
Depth estimation for dynamic scenes is a challenging and relevant problem in computer vision. Althou...
Time-of-Flight (ToF) sensors and stereo vision systems are two of the most diffused depth acquisitio...
The successful revival of three-dimensional (3D) cinema has generated a great deal of interest in 3D...
At the current stage of technology, depth maps acquired using cameras based on a time-of-flight prin...