Invite Freelancer to Project
You don't seem to have an active project at the moment. Why not post a project now? It's free!Post a project
darissa88 Online Offline
- 33%Jobs Completed
- 100%On Budget
- 100%On Time
- N/ARepeat Hire Rate
Google Adwords - 2 campaigns and 5 adgroups per campaign
“Hire this person. Communicates and does a great job. Learns very quickly.”jasonkassel 1 year ago.
Tuition TeacherMay 2012 - Aug 2012 (3 months)
I teach Mathematic subject for children age from 4 years old to fifteen years old.
Research AssistantNov 2011
I am research assistant doing research related to computer vision field such as tampering detection and enhance the feature matching process. Help a researcher to collect data and do data classification.
ReceiptionistMay 2007 - Jul 2007 (2 months)
Serves visitors by greeting, welcoming, and directing them appropriately, notifies company personnel of visitor arrival. Maintains continuity among work teams by documenting and communicating actions, irregularities, and continuing needs.
Master in Electric & Electronics Engineering2011 - 2013 (2 years)
Degree in Electric & Electronics Engineering2007 - 2011 (4 years)
A Pre-Processing Approach for Efficient Feature Matching Process in Extreme Illumination Scenario
In this paper, the accuracy of SURF feature descriptors used in feature matching between two input images of extreme illumination levels are evaluated. Based on the evaluation results, a novel pre-processing method to equalize both images intensity with respect to each other while maintaining the image content is proposed. We do so by fusing the cumulative histogram of the input images to compute a new cumulative histogram that will be used to remap both images. From this simple method, the results show tha
Improved Feature Matching Technique in Low Overlap Area
Low overlap area is one of the problems in finding matching between two frames. When the camera moves on a static planar, the structure of the image deteriorates. As the camera moves, the same object might appear different with different camera views. Thus, it causes matching failure in subsequent images. We propose a rotation translation approach to assist existing feature matching algorithm. The method consists of rotating the image through a rotation translation model and applying Singular Value Decompos