low contrast object detection
Reach-to-precision grasp deficits in amblyopia: Effects of object contrast and low visibility
... On the other hand, it is now also established that reduced amblyopic eye vision extends to certain grouping tasks based on the integration or segregation of signal from noise over quite wide regions of space, and which ...
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A Novel Method for Detection of Significant Areas with Low Contrast Boundaries of Images
... object or phenomenon and is undoubtedly one of the main features used in image processing, pattern recognition and multispectral scanner images obtained from aircraft or satellite platforms to microscopic images ...
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Online Full Text
... Object detection is based on local contrast changes and detection results are improved by tracking the detected objects from one frame to the ...the low-resolution level image bears ...
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Follow Me Travel Bag
... surrounded environment is viewed. Which eliminate the possibility of the followed object being escaped from the camera range. For those who are using the Kinect camera approach they gave attention to this problem ...
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Motion Object Detection Using Mean Square Error Method
... Motion object and Regional Detection Method using Block-Based Background Difference Video Frame quantitatively detectable moving object region by quickly creating a background ...
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Applications of Object Detection System
... Object detection is a computer technology related to computer vision and image processing that detects and defines objects such as persons, vehicles and animals from digital images and ...once. ...
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IJCSMC, Vol. 3, Issue. 7, July 2014, pg.876 – 882 RESEARCH ARTICLE A THREE DIMENSIONAL MODAL TO PERFORM FACE AREA (ROI) IDENTIFICATION
... the object area over the multiple object ...effective object recognition will be performed. Author defined the object analysis based approach under object area identification so that ...
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RGB D Scene Representations for Prosthetic Vision
... a low refresh rate, phosphenes fade with repeated stimulation, and increased electrode resolution does not necessarily correlate with measured visual acuity [66, 165, ...
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A Review : Object Detection and Object Tracking Methods
... Moving Object Tracking is one of the testing issues in the field of computer vision, surveillance, traffic monitoring and so ...of object tracking is to place a moving object in sequential video ...
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Object Tracking and Detection
... As per technical evolution and latest trends taken into consideration, here effectively created a system i.e. face recognition system. This system is created in the vision of security point of view so it can be use for ...
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A NOVEL APPROACH BASED ON 2D - DWT AND VARIANCE METHOD FOR HUMAN DETECTION AND TRACKING IN VIDEO SURVEILLANCE APPLICATIONS
... i.e. object of interest in video ...for object detection and ...based object detection is proposed and is compared with existing well known mean shift ...edge detection of the ...
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Automatic Object Detection and Collision Avoidance System using Cascaded Random Classifier
... Highway accidents are human tragedy. They call for high human suffering and momentary cost in terms of unfortunate deaths, injuries and loss of possible incomes. During the calendar Year 2010, there were close to 5 lakh ...
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Intelligent Systems that Emerges ‘Visual Generic Object Recognition’
... multiple object parts during the ...the object parts can move independently in such a case the more training data is needed and even the results cannot be ...part-based detection model, both the ...
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Techniques for Object Recognition in Images and Multi Object Detection
... In [11] K.Schindler, D. Suter presented a method for object class detection based on global shape based on elastic matching of contours. An edge map with closed edge chains is produced by segmentation into ...
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<p>Comparing Visual Acuity, Low Contrast Acuity and Contrast Sensitivity After Trifocal Toric and Extended Depth of Focus Toric Intraocular Lens Implantation</p>
... The Tecnis Symfony ® (J&J Vision, Inc., Santa Ana, CA, USA) is a widely used EDOF IOL. Rather than creating distinct focal points, the IOL uses diffractive echelettes to elongate the depth of focus to increase a ...
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Neuro-Fuzzy Based Real Time Object Tracking SUNITHA.M 1, SHANMUGAPRIYA.K2
... possible object regions in every frame are obtained by means of an object detection algorithm, and then the tracker corresponds object across ...the object region and correspondence is ...
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Object Detection, Extraction and Classification using Image Processing Technique
... of object components from image has been a continuous area of research since very long ...focused object from the image is the main task in many different areas ...disease detection, satellite ...
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OBJECT TRACKING BASED ON MOVING OBJECT DETECTION
... The background subtraction method is the common method of motion detection. It is a technology that uses the difference of the current image and the background image to detect the motion region, and it is ...
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Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm
... However, there is another problem. If the size of the difference image is large, and the number of pixels contained in the undetermined class within the salient regions is also large, the search space of the GA will ...
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Cerebral CTA with Low Tube Voltage and Low Contrast Material Volume for Detection of Intracranial Aneurysms
... and contrast material-in- duced nephropathy caused by CTA have received extensive atten- FIG ...of contrast agent in a 50-year-old ...of contrast agent in a 46-year-old ...
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