Real-Time Motion Artifact Suppression in TOF Camera Systems

Hußmann, Stephan; Hermanski, Alexander; Edeler, Torsten

doi:10.1109/tim.2010.2102390

Cited by 41 publications

(14 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To achieve this good performance only an offset calibration on the range data as proposed in [23] has been used. Because of this calibration, the memory usage is proportional to two times the pixel matrix size.…”

Section: Discussionmentioning

confidence: 99%

Modulation Method Including Noise Model for Minimizing the Wiggling Error of TOF Cameras

Hußmann

Knöll

Edeler

2014

IEEE Trans. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

Registered depth and intensity data at a high frame rate, a compact design, low weight, and a reduced power consumption have motivated the increasing usage of lock-in time-of-flight (TOF) cameras in research areas such as computer graphics, machine vision, and robotics. The state-of-the-art practice is to use continuous wave modulation with square waves for TOF cameras. Square waves can be easily generated digitally with a high accuracy and stability using programmable logic devices. In this paper, a modulation method based on sine waves is proposed, which significantly reduces the depth distortion offset (wiggling effect) of lock-in TOF cameras. Furthermore, a model for the noise distribution in the depth image is derived. This model can predict the performance of the proposed modulation method for each pixel in real time.Index Terms-Optical distance measurement component, phase measurement, phase shift algorithm, photonic mixer devices (PMDs), time-of-flight (TOF).

show abstract

Section: Discussionmentioning

confidence: 99%

Modulation Method Including Noise Model for Minimizing the Wiggling Error of TOF Cameras

Hußmann

Knöll

Edeler

2014

IEEE Trans. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

show abstract

“…In comparison to the state-ofthe-art four-phase and the pseudo four-phase shift algorithm, the range calculation time is increased by a factor of four and two, respectively. To achieve this good performance, the calibration method proposed in [21] has been used. Due to this calibration, the memory usage is proportional to four times the pixel matrix size.…”

Section: Discussionmentioning

confidence: 99%

One-Phase Algorithm for Continuous Wave TOF Machine Vision Applications

Hußmann

Hermanski

2013

IEEE Trans. Instrum. Meas.

Self Cite

View full text Add to dashboard Cite

During the last years, time-of-flight (TOF) sensors achieved a significant impact onto research fields in machine vision. In comparison to other common 3-D sensing devices, they combine the advantages of active sensors providing accurate distance measurements and camera-based systems recording a 2-D matrix at a high frame rate. In this paper, a new approach is presented which increases the range calculation time by a factor of four. Experimental results show that the proposed algorithm is well suited for real-time processing of the range images of continuous wave TOF cameras.Index Terms-Optical distance measurement component, phase measurement, phase shift algorithm, photonic mixer devices (PMD), real-time image processing, time-of-flight (TOF).

show abstract

“…It is important to investigate the performance of the proposed framework under patient's movement conditions, such as respiratory motion or spontaneous movements during long-time treatments [8,31]. The object motion was found to affect the reliability of the range measurements in TOF cameras [32], which might be consequently reflected on the accuracy of detecting the feature points.…”

Section: Limitations In the Proposed Frameworkmentioning

confidence: 99%