scholarly journals Correction: Coding of low-level position and orientation information in human naturalistic vision

PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0220502
Author(s):  
Jeppe H. Christensen ◽  
Peter J. Bex ◽  
József Fiser
Keyword(s):  
Low Level ◽  
Orientation Information ◽  
Position And Orientation

scholarly journals Coding of low-level position and orientation information in human naturalistic vision

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0212141 ◽  
Author(s):  
Jeppe H. Christensen ◽  
Peter J. Bex ◽  
József Fiser
Keyword(s):  
Low Level ◽  
Orientation Information ◽  
Position And Orientation

Contour Object Generation Method for Object Recognition Using FPGA

2013 ◽  
Vol 7 (2) ◽  
pp. 182-189 ◽  
Author(s):  
M. Peña-Cabrera ◽  
◽  
V. Lomas-Barrie ◽  
I. López-Juárez ◽  
R. Osorio-Comparán ◽  
...  
Keyword(s):  
Parallel Structure ◽  
Robot Arm ◽  
Ann Model ◽  
Fpga Architecture ◽  
Object Contour ◽  
Field Programmable ◽  
Contour Information ◽  
Orientation Information ◽  
Position And Orientation ◽  
Artificial Neural Network Ann

The article presents a method for obtaining the contour of an object in real time from non-binarized images for recognition purpose. The contour information is integrated into a descriptive vector named BOF used by a FuzzyARTMAP Artificial Neural Network (ANN) model to learn the object and then recognize it later. In this way, it is possible to obtain a learning process regarding the location and recognition of parts; to communicate to a robot arm the position and orientation information of an object for assembly purposes. Other method to obtain contour using binarized images, is compared with the described method in this paper in order to implement and test both in a Field Programmable Gate Array (FPGA) architecture. Since an ANN can be implemented more efficiently in a parallel structure such as FPGA architecture can supply, it is desirable to implement an efficient algorithm for obtaining the object contour in the same way.

scholarly journals Tracking Marker Movement for Simplicity of Picture Handling

2019 ◽  
Vol 8 (6S2) ◽  
pp. 710-714
Keyword(s):  
Motion Analysis ◽  
High Speed ◽  
Image Sequence ◽  
Input Image ◽  
Invariant Moments ◽  
Time Motion ◽  
Segmented Image ◽  
Orientation Information ◽  
Position And Orientation ◽  
Moving Parts

High speed machines and mechanisms are often studied from a sequence of images obtained from high speed videography. The use of markers printed or attached on moving parts can greatly assist in tracking the moving parts. We present the design of a marker suitable for planar motion analysis of mechanism. The marker is designed to make the task of image processing computationally less intensive so as to make real time motion analysis practical. Rosenfeld equivalence table algorithm is used to segment the input image. The new geometry of marker facilitates automatic tracking and provides both position and orientation information. Hu invariant moments are used for recognition of the marker shape in the segmented image. Markers are uniquely identified on the basis of a text code that is placed in a designated location with respect to the marker geometry. In this method, the bounding box for the text code is computed. Knowing the orientation of the marker and therefore the text orientation, it is possible to transform the sub- image, containing the text, so that the text is aligned horizontally. This will permit a standard OCR routine to read the text code. The motion of various moving parts in image sequence can be easily inferred once the position and orientation of each of the marker is known

scholarly journals Low-level orientation information for social evaluation in face images

2018 ◽  
Vol 25 (6) ◽  
pp. 2224-2230 ◽  
Author(s):  
Benjamin Balas ◽  
M. Quiridumbay Verdugo
Keyword(s):  
Social Evaluation ◽  
Low Level ◽  
Face Images ◽  
Orientation Information

Tryptophan-Niacin Metabolism in Rat with Puromycin Aminonucleoside-Induced Nephrosis

2006 ◽  
Vol 76 (1) ◽  
pp. 28-33 ◽  
Author(s):  
Yukari Egashira ◽  
Shin Nagaki ◽  
Hiroo Sanada
Keyword(s):  
Body Weight ◽  
Urinary Excretion ◽  
Enzyme Activities ◽  
Treated Group ◽  
Control Group ◽  
Puromycin Aminonucleoside ◽  
Low Level ◽  
Key Enzyme

We investigated the change of tryptophan-niacin metabolism in rats with puromycin aminonucleoside PAN-induced nephrosis, the mechanisms responsible for their change of urinary excretion of nicotinamide and its metabolites, and the role of the kidney in tryptophan-niacin conversion. PAN-treated rats were intraperitoneally injected once with a 1.0% (w/v) solution of PAN at a dose of 100 mg/kg body weight. The collection of 24-hour urine was conducted 8 days after PAN injection. Daily urinary excretion of nicotinamide and its metabolites, liver and blood NAD, and key enzyme activities of tryptophan-niacin metabolism were determined. In PAN-treated rats, the sum of urinary excretion of nicotinamide and its metabolites was significantly lower compared with controls. The kidneyα-amino-β-carboxymuconate-ε-semialdehyde decarboxylase (ACMSD) activity in the PAN-treated group was significantly decreased by 50%, compared with the control group. Although kidney ACMSD activity was reduced, the conversion of tryptophan to niacin tended to be lower in the PAN-treated rats. A decrease in urinary excretion of niacin and the conversion of tryptophan to niacin in nephrotic rats may contribute to a low level of blood tryptophan. The role of kidney ACMSD activity may be minimal concerning tryptophan-niacin conversion under this experimental condition.

Low-level lead exposure: Are there harmful effects?

1983 ◽  
Vol 28 (1) ◽  
pp. 79-79
Author(s):  
Claire B. Ernhart
Keyword(s):  
Lead Exposure ◽  
Low Level ◽  
Harmful Effects
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