How do we use local features in object recognition algorithms? Local Features in Object Recognition

Local Features in Object Recognition

Computer vision algorithms that use local feature-based objects recognition algorithms to recognize objects in an image are one type of local feature-based object recognition algorithm. These algorithms make use of distinct features such as lines and curves in an image to identify and compare objects. You can use techniques like Scale Invariant Binary Pattern (LBP), or Scale Invariant FFeature Transforms (SIFT). The features are extracted using metrics such as scale, orientation and local brightness patterns (Varma & Zisserman, 2015).   The features are then compared with a database of pre-stored object features. The object is detected when there is a sufficient match between the extracted features from the image and those stored in the database (Rahman & Rahman, 2021). Local feature recognition algorithms can be computationally efficient. They are able to identify the exact location where the object is located and provide a precise representation with very little processing time. These local feature recognition algorithms can be used for real-time video processing.   Because of their accuracy and low computational cost, local feature-based object recognition algorithms can be used for computer vision applications.   References  Rahman, M. S., & Rahman, S. (2021). Object Recognition using Discrete Cosine Transform (DCT). Journal of Engineering and Applied Sciences (16(7), 4259-4259.  Varma, M., & Zisserman, A. (2015). An statistical method for texture classification using single images. International Journal of Computer Vision 62(1): 61-81.

Place your order
(550 words)

Approximate price: $22

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
$26
The price is based on these factors:
Academic level
Number of pages
Urgency
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more