23 Matching Annotations
  1. Apr 2021
    1. OpenCV Android Application Programming with OpenCV Mastering OpenCV with Practical Computer Vision Projects Practical OpenCV Learning OpenCV

      sách hay vọc OpenCV trên C++ và Java (Nhúng và di động)

  2. Oct 2018
  3. Jun 2018
    1. Remember, the author made a more technical report on this topic. PDF here

    2. if we ever find the translation is dominant in a direction other than forward, we simply ignore that motion.

      Remember, this is just a heuristic

    3. Most Computer Vision algorithms are not complete without a few heuristics thrown in
    4. RANSAC. It is an iterative algorithm. At every iteration, it randomly samples five points from out set of correspondences, estimates the Essential Matrix, and then checks if the other points are inliers when using this essential matrix.
    5. T his step compensates for this lens distortion.
    6. For every pair of images, we need to find the rotation matrix RRR and the translation vector ttt, which describes the motion of the vehicle between the two frames.
    7. An efficient solution to the five-point relative pose problem
    1. our job is to construct a 6-DOF trajectory

      This is "forwards/backwards" in every major axis, and rotations in the same axis.

  4. Mar 2018
  5. Aug 2017
  6. Sep 2016
    1. The Tesla accident in May, researchers say, was not a failure of computer vision. But it underscored the limitations of the science in applications like driverless cars despite remarkable progress in recent years, fueled by digital data, computer firepower and software inspired by the human brain.

      Testing annotations. Interesting statement.

  7. May 2016
  8. Dec 2015
  9. Mar 2015
    1. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.