Tong's Blog

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Super Egg Drop

887. Super Egg Drop Difficulty: Hard You are given K eggs, and you have access to a building with N floors from 1 to N.  Each egg is identical in function, and if an egg breaks, you cannot drop ...

Sudoku

36. Valid Sudoku Difficulty: Medium Determine if a 9x9 Sudoku board is valid. Only the filled cells need to be validated according to the following rules: Each row must contain the digits 1-9...

N-Queens

Programming for the Puzzled - Puzzle 5: Keep Those Queens Apart Programming for the Puzzled - Puzzle 6: A Profusion of Queens 51. N-Queens Difficulty: Hard The n-queens puzzle is the pr...

Vision Algorithms for Mobile Robotics - Understanding Check

1. Introduction to Computer Vision and Visual Odometry Provide a definition of Visual Odometry? VO is the process of incrementally estimating the pose of the vehicle by examining the...

[Paper] Superpixel

Manifold SLIC: A Fast Method to Compute Content-Sensitive Superpixel 1 Abstract Superpixels are perceptually meaningful atomic regions that can effectively capture image features. Among various m...

Feature

https://www.vlfeat.org/ A combined corner and edge detector 1 Abstract Consistency of image edge filtering is of prime importance for 3D interpretation of image sequences using feature track...

J-Linkage

J-linkage1 Problem: fitting multiple instances of a model to data corrupted by noise and outliers. Theory: Based on random sampling and conceptual data representation. Each point...

Boost Serialization

http://www.ocoudert.com/blog/2011/07/09/a-practical-guide-to-c-serialization/ https://www.boost.org/doc/libs/1_71_0/libs/serialization/doc/serialization.html https://www.boost.org/doc/...

Differential Wheel Speed Model

«Introduction to autonomous mobile robots» 5.2.4 An error model for odometric position estimation Motion model of A differential-drive robot The pose of a robot is represented by the vector...

Robust Estimation

RANSAC (Random Sample Consensus)1 目标 一个模型与含有野值得数据集\(S\)的鲁棒拟合。(由最小集推测的模型根据在阈值距离内的点数来计分) 算法 随机地从\(S\)中选择\(s\)个数据点组成的一个样本作为模型的一个例示。 确定在模型距离阈值\(t\)内的数据点集\(S_i\),\(S_i\)称为采样的一致集并定义\(S\)的内点。 如...