scholarly journals A Dynamic Range Expansion Technique Using Dual Charge Storage in a CMOS APS and Multiple Exposures for Reduced Motion Blur

2008 ◽  
Vol 62 (12) ◽  
pp. 2037-2044 ◽  
Author(s):  
Suhaidi Shafie ◽  
Shoji Kawahito ◽  
Hyung-June Yoon ◽  
Shinya Itoh
Keyword(s):  
Range Expansion ◽  
Dynamic Range ◽  
Motion Blur ◽  
Charge Storage ◽  
Multiple Exposures ◽  
Expansion Technique

scholarly journals Dynamic range expansion of active pixel sensor with output voltage feedback

2009 ◽  
Vol 18 (4) ◽  
pp. 274-279 ◽  
Author(s):  
Min-Woong Seo ◽  
Sang-Ho Seo ◽  
Jae-Sung Kong ◽  
Jang-Kyoo Shin
Keyword(s):  
Range Expansion ◽  
Output Voltage ◽  
Dynamic Range ◽  
Active Pixel Sensor ◽  
Active Pixel ◽  
Voltage Feedback

Event-based tracking of human hands

Sensor Review ◽  
2021 ◽  
Vol 41 (4) ◽  
pp. 382-389
Author(s):  
Laura Duarte ◽  
Mohammad Safeea ◽  
Pedro Neto
Keyword(s):  
Dynamic Range ◽  
Estimation Error ◽  
Computational Cost ◽  
Motion Blur ◽  
Hand Position ◽  
Single Event ◽  
Content Type ◽  
Event Camera ◽  
Event Based ◽  
Human Hands

Purpose This paper proposes a novel method for human hands tracking using data from an event camera. The event camera detects changes in brightness, measuring motion, with low latency, no motion blur, low power consumption and high dynamic range. Captured frames are analysed using lightweight algorithms reporting three-dimensional (3D) hand position data. The chosen pick-and-place scenario serves as an example input for collaborative human–robot interactions and in obstacle avoidance for human–robot safety applications. Design/methodology/approach Events data are pre-processed into intensity frames. The regions of interest (ROI) are defined through object edge event activity, reducing noise. ROI features are extracted for use in-depth perception. Findings Event-based tracking of human hand demonstrated feasible, in real time and at a low computational cost. The proposed ROI-finding method reduces noise from intensity images, achieving up to 89% of data reduction in relation to the original, while preserving the features. The depth estimation error in relation to ground truth (measured with wearables), measured using dynamic time warping and using a single event camera, is from 15 to 30 millimetres, depending on the plane it is measured. Originality/value Tracking of human hands in 3 D space using a single event camera data and lightweight algorithms to define ROI features (hands tracking in space).

scholarly journals High Dynamic Range Imaging and Low Dynamic Range Expansion for Generating HDR Content

2009 ◽  
Vol 28 (8) ◽  
pp. 2343-2367 ◽  
Author(s):  
Francesco Banterle ◽  
Kurt Debattista ◽  
Alessandro Artusi ◽  
Sumanta Pattanaik ◽  
Karol Myszkowski ◽  
...  
Keyword(s):  
Range Expansion ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
High Dynamic Range Imaging ◽  
Range Imaging ◽  
High Dynamic ◽  
Low Dynamic Range

Region-based histogram specification for dynamic range expansion

1998 ◽  
Author(s):  
Young Ho Kim ◽  
Hyun S. Jang ◽  
Kun S. Kim ◽  
Byung D. Nam
Keyword(s):  
Range Expansion ◽  
Dynamic Range ◽  
Histogram Specification
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