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transform
அளவு மாற்றுதல்...
Last Update: 2011-10-23
Usage Frequency: 1
Quality:
transform...
நà¯à®²à®®à¯
Last Update: 2011-10-23
Usage Frequency: 1
Quality:
& transform
& à® à®à¯à®à¯à®à¯ à®à¯à®°à¯...
Last Update: 2011-10-23
Usage Frequency: 1
Quality:
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transform tool
உருமாற்றும் கருவிname
Last Update: 2011-10-23
Usage Frequency: 1
Quality:
in the matter of exchanging you for others, and to transform you into what you do not know.
(அன்றியும் உங்களைப் போக்கி விட்டு) உங்கள் போன்றோரை பதிலாகக் கொண்டு வந்து நீங்கள் அறியாத உருவத்தில் உங்களை உண்டாக்கவும் (நாம் இயலாதவர்கள் அல்ல).
and if we listed, surely we should transform them in their places, so that they would be able neither to go forward nor to return
அன்றியும், நாம் நாடியிருந்தால், அவர்களுடைய இடத்திலேயே அவர்களை உரு மாற்றியிருப்போம். அப்போது, அவர்கள் முன் செல்லவும் சக்தி பெறமாட்டார்கள்; இன்னும் அவர்கள் மீளவும் மாட்டார்கள்.
and if we please we would surely transform them in their place, then they would not be able to go on, nor will they return.
அன்றியும், நாம் நாடியிருந்தால், அவர்களுடைய இடத்திலேயே அவர்களை உரு மாற்றியிருப்போம். அப்போது, அவர்கள் முன் செல்லவும் சக்தி பெறமாட்டார்கள்; இன்னும் அவர்கள் மீளவும் மாட்டார்கள்.
renowned for their attention to detail and flawless execution, endora has become a trusted brand, setting benchmarks in jewelry interiors. i highly recommend endora jewellery interiors to all retailers looking to transform their spaces into a royal masterpiece.
நீங்கள் எதைக் கொடுக்கிறீர்களோ அதுவே உங்களுக்குக் கிடைக்கும்
abstract video stitching has become more popular nowadays, since it provides a wide high resolution panoramic videos. these panoramic videos are generated by stitching of two or more individual videos with certain overlapping similarities. video stitching faces challenging problems such as misalignment of frames due to camera angle, ghost effects that rise due to visual parallax, illumination variations in the two videos chosen for stitching. various algorithms are used for image stitching. scale invariant feature transform (sift) is one among the different algorithms. sift is a feature descriptor, used for detecting, extracting and matching the features. the feature used here is keypoints. the random sample consensus (ransac) is performed on the matching point sets to remove outliers and finds the transformation between the frames present in the videos. it is followed by warping, gain compensation and blending. warping is used for mapping pixels from one plane to the other and it is utilized to align the frames correctly. gain compensation minimizes the intensity difference of overlapping pixels exposure difference between the two video frames can be equalized using this technique. blending smoothens the transition between the frames. hence the frames/images in the two videos are stitched to create a panoramic video with a wide field-of-view and high-resolution video. from the stitched video human tracking is performed. human tracking is an essential requirement for human-centric surveillance, activity recognition, gait recognition etc. background modelling is used here along with the kalman filter to avoid the problem of occlusion. the system has been implemented using c++ and the opencv library.
at times you prefer quietness