Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers Inference

2016 ◽  
Vol 31 (2) ◽  
pp. 54-65 ◽  
Author(s):  
Anlong Ming ◽  
Tianfu Wu ◽  
Jianxiang Ma ◽  
Fang Sun ◽  
Yu Zhou
Keyword(s):  
Edge Detection ◽  
Monocular Depth ◽  
Depth Ordering

scholarly journals Monocular depth ordering with occlusion edges extraction and local depth inference

2019 ◽  
Vol 30 (6) ◽  
pp. 1081-1089
Author(s):  
Guiling SONG ◽  
Aiwei YU ◽  
Xuejing KANG ◽  
Anlong MING
Keyword(s):  
Monocular Depth ◽  
Depth Inference ◽  
Local Depth ◽  
Depth Ordering

scholarly journals Monocular Depth Ordering Using T-Junctions and Convexity Occlusion Cues

2013 ◽  
Vol 22 (5) ◽  
pp. 1926-1939 ◽  
Author(s):  
Guillem Palou ◽  
Philippe Salembier
Keyword(s):  
Monocular Depth ◽  
Depth Ordering

scholarly journals Monocular depth ordering affect perceptual filling-in and motion induced blindness

2010 ◽  
Vol 7 (9) ◽  
pp. 364-364
Author(s):  
L.-C. Hsu ◽  
P. Kramer ◽  
S.-L. Yeh
Keyword(s):  
Monocular Depth ◽  
Depth Ordering

Difference mode EXELFS with parallel-detection EELS

1992 ◽  
Vol 50 (2) ◽  
pp. 1262-1263
Author(s):  
Michael K. Kundmann ◽  
Ondrej L. Krivanek
Keyword(s):  
Edge Detection ◽  
Important Distinction ◽  
Edge Structure ◽  
Parallel Detection ◽  
Gain Variation ◽  
Ideal Solutions ◽  
Detector Cell ◽  
The Difference ◽  
Elemental Detection ◽  
Partial Correction

Parallel detection has greatly improved the elemental detection sensitivities attainable with EELS. An important element of this advance has been the development of differencing techniques which circumvent limitations imposed by the channel-to-channel gain variation of parallel detectors. The gain variation problem is particularly severe for detection of the subtle post-threshold structure comprising the EXELFS signal. Although correction techniques such as gain averaging or normalization can yield useful EXELFS signals, these are not ideal solutions. The former is a partial throwback to serial detection and the latter can only achieve partial correction because of detector cell inhomogeneities. We consider here the feasibility of using the difference method to efficiently and accurately measure the EXELFS signal.An important distinction between the edge-detection and EXELFS cases lies in the energy-space periodicities which comprise the two signals. Edge detection involves the near-edge structure and its well-defined, shortperiod (5-10 eV) oscillations. On the other hand, EXELFS has continuously changing long-period oscillations (∼10-100 eV).

A Dividing Ratio Changeable Digital PLL Based on Phase State Memory and Double Clock-Edge Detection

2008 ◽  
Vol 128 (7) ◽  
pp. 1185-1190 ◽  
Author(s):  
Kuniaki Fujimoto ◽  
Hirofumi Sasaki ◽  
Mitsutoshi Yahara
Keyword(s):  
Edge Detection ◽  
Phase State
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