Advantages/Disadvantages
8 important questions on Advantages/Disadvantages
BoF Advantages/Disadvantages
+ Robust matching of visual word instances
+ Fixed length feature vector
+ Good performance (simplicity)
- Loss of spatial position and object configuration (so, not suitable for recognise or localise images)
- Quantisation loses information
Cross-correlation Advantages/Disadvantages
+ Commutative (F * G = G * F)
- Difficult when working with the edge:
+ Ignore
+ Mirroring
+ Wrap around
+ Copy edge (assume image continues like on the edge)
Gradient/Image derivative Advantages/Disadvantages
- Different lightning or camera position can cause 2 images of the same scene to have drastically different pixel values
+ Compute texture or feature signatures based on gradient images computed from the original images.
- Higher grades + faster learning
- Never study anything twice
- 100% sure, 100% understanding
For my 1st exam I got a C. Then, I started looking for ways to learn better and I came across Study Smart. Since then I have scored a A+, A, A- and another A. I highly recommend it to everyone who wants to hear it. I am so happy with it!!
I was struggling to finish all my first-year subjects for 3 years. Then I discovered Study Smart, which helped me to finish all of them within 3 months.
Because of StudySmart, things are going well in many ways. Before, I always had study stress and no time for anything. Now I feel calm and confident (because of the program). I used to score a B, now I usually score an A or A+.
Hey Chris, I really want to thank you very much for developing the platform, I usually got around C for my exams, now I scored an A+, an A and a A- !!
Since using Study Smart, my average has increased significantly. I even completed a statistics course with a A+ while I'm bad at statistics. I took on extra courses this year, because of Study Smart. Thanks so much!
Ever since I started studying with StudySmart I passed all my exams !!! No more re-sits!! At first, I was happy with a pass and now I only get good grades. Many thanks!
I aced all the courses I studied with Study Smart. For law, I first scored a D, and now an A! I’m 100% sure that I’ll pass all the courses I study with Study Smart.
I always thought I studied well. My grades were fine. I could never have imagined that applying these study skills would have such a huge and direct impact on my grades, my speed and the pleasure I have in learning.
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Students that study with Study Smart get better grades. The system applies all the learning methods in such a way that both well-performing students and students who struggle perform much better.
Hi Chris, I would like to thank you very much. Last year I scored C on a course, and this year I got an A+ thanks to your method! Thank you very much!
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In high school, I failed several exams, and that has really changed now. I actually needed this tool very much back then. Since I started studying with StudySmart, I haven't had any D's. My average score is now an A and those are results I would have never had in the past
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Harris Corner Detection Advantages/Disadvantages
+ Invariant to intensity changes (partly to multiplicative intensity change)
- Not invariant to image scaling
K-means Advantages/Disadvantages
+ It is parallelizable
+ Works well for a large range of problems without need of tuning
- Variations in cluster size
- Variations in cluster densities
- Non-globular shapes
- Number of clusters need to be decided beforehand: inappropriate choice will give poor clustering results
K-nn Advantages/Disadvantages
+ Easy to integrate new images
+ Easy to integrate new classes
- But expensive at test time
- K has to be chosen beforehand
- Incorrect classifier when the class distribution is skewed.
+ Weight the classification
Panorama Advantages/Disadvantages
- Reliable & Destinctive descriptor: For each point correctly recognize the corresponding one
SIFT Advantages/Disadvantages
+ Descriptiveness
Robust matching technique (to noise):
+ Scale invariant
+ Rotation invariant
+ Intensity change invariant
- Not invariant to light color change
- Too big when storing each SIFT (128 dimensions), we better can use K-means Clustering to save a lot of space.
The question on the page originate from the summary of the following study material:
- A unique study and practice tool
- Never study anything twice again
- Get the grades you hope for
- 100% sure, 100% understanding
