Data-Fusion of PMD-Based Distance-Information and High-Resolution RGB-Images

Lindner, Marvin; Kolb, Andreas; Hartmann, Klaus

doi:10.1109/isscs.2007.4292666

Cited by 72 publications

(53 citation statements)

References 4 publications

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“…[7] . 이에 반해 하드웨어를 이용한 깊이영 상 획득 방법은 비용과 부피가 크지만 [8][9] , 비교적 정 [10] 와 Huhle [11] 은 한 대의 컬러 카 메라와 한 대의 깊이 카메라를 이용하여 3차원 모델 을 획득했다. 그리고 Kim [12] 와 Hahne [13] 는 고해상도 의 스테레오 카메라와 한 대의 깊이 카메라를 이용하 여 불안정한 깊이영상을 개선했다.…”

Section: 깊이영상을 기반으로 한 다시점 입체영상 기술은unclassified

Multi-view Generation using High Resolution Stereoscopic Cameras and a Low Resolution Time-of-Flight Camera

Lee¹,

Song²,

Choi³

et al. 2012

The Journal of Korea Information and Communications Society

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Recently, the virtual view generation method using depth data is employed to support the advanced stereoscopic and auto-stereoscopic displays. Although depth data is invisible to user at 3D video rendering, its accuracy is very important since it determines the quality of generated virtual view image. Many works are related to such depth enhancement exploiting a time-of-flight (TOF) camera. In this paper, we propose a fast 3D scene capturing system using one TOF camera at center and two high-resolution cameras at both sides. Since we need two depth data for both color cameras, we obtain two views' depth data from the center using the 3D warping technique. Holes in warped depth maps are filled by referring to the surrounded background depth * 광주과학기술원 정보통신공학과

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Section: 깊이영상을 기반으로 한 다시점 입체영상 기술은unclassified

Multi-view Generation using High Resolution Stereoscopic Cameras and a Low Resolution Time-of-Flight Camera

Lee¹,

Song²,

Choi³

et al. 2012

The Journal of Korea Information and Communications Society

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“…Many researchers use a binocular combination of a 2D-RGB-with a ToF-sensor [11,13,22,29]. In all cases, an external calibration of the two sensors is required.…”

Section: Range Image Processing and Sensor Fusionmentioning

confidence: 99%

ToF-sensors: New dimensions for realism and interactivity

Kolb

Barth²,

Koch

2008

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

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A growing number of applications depend on accurate and fast 3D scene analysis. Examples are object recognition, collision prevention, 3D modeling, mixed reality, and gesture recognition. The estimation of a range map by image analysis or laser scan techniques is still a timeconsuming and expensive part of such systems.A lower-priced, fast and robust alternative for distance measurements are Time-of-Flight (ToF) cameras. Recently, significant improvements have been made in order to achieve low-cost and compact ToF-devices, that have the potential to revolutionize many fields of research, including Computer Vision, Computer Graphics and Human Computer Interaction (HCI).These technologies are starting to have an impact on research and commercial applications. The upcoming generation of ToF sensors, however, will be even more powerful and will have the potential to become "ubiquitous geometry devices" for gaming, web-conferencing, and numerous other applications. This paper will give an account of some recent developments in ToF-technology and will discuss applications of this technology for vision, graphics, and HCI.

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“…Furthermore, it eases the interpretation of the data for surgeons. As the grayscale information delivered by the ToF sensor is insufficient for texture information due to its low resolution (64×50 px), ToF/RGB data fusion has already been proposed in [4], [5] and for 3-D endoscopy in [3]. The 3-D endoscope used in this paper is a prototype utilizing a ToF sensor in combination with an RGB chip and is described in Sect.…”

Section: Introductionmentioning

confidence: 99%

ToF/RGB Sensor Fusion for Augmented 3D Endoscopy using a Fully Automatic Calibration Scheme

Haase

Forman

Kilgus³

et al. 2012

Bildverarbeitung Für Die Medizin 2012

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Abstract. 3-D Endoscopy is an evolving field of research and offers great benefits for minimally invasive procedures. Besides the pure topology, color texture is an inevitable feature to provide an optimal visualization. Therefore, in this paper, we propose a sensor fusion of a Time-of-Flight (ToF) and an RGB sensor. This requires an intrinsic and extrinsic calibration of both cameras. In particular, the low resolution of the ToF camera (64×50 px) and inhomogeneous illumination precludes the use of standard calibration techniques. By enhancing the image data the use of self-encoded markers for automatic checkerboard detection, a reprojection error of less than 0.23 px for the ToF camera was achieved. The relative transformation of both sensors for data fusion was calculated in an automatic manner.

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Data-Fusion of PMD-Based Distance-Information and High-Resolution RGB-Images

Cited by 72 publications

References 4 publications

Multi-view Generation using High Resolution Stereoscopic Cameras and a Low Resolution Time-of-Flight Camera

Multi-view Generation using High Resolution Stereoscopic Cameras and a Low Resolution Time-of-Flight Camera

ToF-sensors: New dimensions for realism and interactivity

ToF/RGB Sensor Fusion for Augmented 3D Endoscopy using a Fully Automatic Calibration Scheme

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