This site has different types of tech blogs, including AR, CV, SLAM, Math, Coding and software developments. Each blog will be updated from time to time.
Index of main posts are as following.
More posts could be found in categories tab.
Literature review for SLAM papers that use neural network / deep learning based approaches.
Literature review for SLAM papers.
Notes of the book Introduction to Linear Algebra.
Object detection is kind of classificitaion which you need to figure out where the object is located in the image. The output is usually described as:
$$
y = [P_c, P_x, P_y, W, H, c_1, c_2, c_3, …]
$$
$P_c$ means whether this image contain the content you’re detecting, $c_i$ the probability of the label_i object exists.
Object detection includes both localization and detection.
$$
Intersection\ Over\ Union = \frac{size\ of\ overlaping\ area}{size\ of\ true\ and\ detection\ area}
$$
Introduced classic deep learning model structures.
Below are some basic machine learning skills
XR devices leverages variety of algorithms, mainly include computer vision and computer graphics categories.
VR, AR introduction.
Introduction for software development in Apple platforms