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Google ARCore VS Binary Search

Compare Google ARCore VS Binary Search and see what are their differences

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Google ARCore logo Google ARCore

Google Augmented Reality SDK

Binary Search logo Binary Search

Master coding and algorithms together.
  • Google ARCore Landing page
    Landing page //
    2023-07-07
  • Binary Search Landing page
    Landing page //
    2021-07-08

Google ARCore features and specs

  • Wide Device Compatibility
    ARCore supports a wide range of Android devices, making it accessible to a large user base.
  • High-Quality Tracking
    ARCore provides high-precision tracking and environmental understanding, enhancing the user experience in AR applications.
  • Cross-Platform
    ARCore supports not only Android but also iOS through the ARCore SDK for iOS, allowing developers to reach users on both platforms.
  • Integration with Google Services
    ARCore can be easily integrated with other Google services like Maps, enabling developers to create location-based AR experiences.
  • User-Friendly SDK
    Offers a comprehensive SDK with extensive documentation, tutorials, and community support, which eases the development process for beginners and experts alike.

Possible disadvantages of Google ARCore

  • Performance Variability
    Performance and capabilities can vary significantly across different Android devices, potentially leading to inconsistent user experiences.
  • Limited Advanced Features
    While ARCore provides the basic functionalities required for AR, it may lack some of the advanced features available in more specialized AR platforms.
  • Battery Consumption
    ARCore applications can be resource-intensive, leading to higher battery consumption on mobile devices.
  • iOS Limitations
    Although ARCore supports iOS, it may not be as deeply integrated or optimized as native ARKit applications, potentially limiting performance.
  • Dependency on Google Play Services
    ARCore relies on Google Play Services for AR, which may not be available in certain regions or on devices without Google Play support.

Binary Search features and specs

  • Efficiency
    Binary Search has a time complexity of O(log n), making it highly efficient for searching in large, sorted datasets compared to linear search methods.
  • Simplicity
    The algorithm is straightforward to understand and implement, which makes it accessible for beginners and useful as a conceptual tool in computer science education.
  • Performance
    Due to its divide-and-conquer approach, binary search effectively reduces the problem size with each iteration, leading to faster results compared to linear approaches.
  • Predictable Behavior
    Binary search consistently performs well across various environments and datasets, providing predictable and reliable performance metrics.

Possible disadvantages of Binary Search

  • Requires Sorted Data
    Binary search can only be applied to datasets that are sorted, which can introduce an additional overhead in terms of preprocessing unsorted data before searching.
  • Complex Implementation for Recursive Approach
    While the iterative approach is simple, the recursive implementation of binary search can be slightly complex and may lead to stack overflow if not properly handled in languages without tail recursion optimization.
  • Less Effective for Small Datasets
    For small datasets, the overhead of dividing the dataset may not lead to significant performance gains compared to simpler algorithms like linear search.
  • Not Cache-Friendly
    Binary search may exhibit poor cache performance due to non-sequential memory access patterns, which can be a drawback on modern hardware where memory access speed is a bottleneck.

Google ARCore videos

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Binary Search videos

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Algorithms: Binary Search

More videos:

  • Review - Introduction to Binary Search (Data Structures & Algorithms #10)
  • Review - 11-2 Short Binary Search Review

Category Popularity

0-100% (relative to Google ARCore and Binary Search)

Google ARCore

Binary Search

Augmented Reality
100 100%
Augmented Reality
0% 0
Education
0 0%
Education
100% 100
Development
100 100%
Development
0% 0
Online Learning
0 0%
Online Learning
100% 100

User comments

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Social recommendations and mentions

Based on our record, Binary Search should be more popular than Google ARCore. It has been mentiond 52 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google ARCore mentions (9)

  • We're accelerating the Android XR platform with a new agreement with HTC
    - There was the AR (https://developers.google.com/ar). - Source: Hacker News / 4 months ago
  • App to get height of object.
    I don't know houw you would do it on ios but you should be able to do it on android if the phone supports it with.this library from google: https://developers.google.com/ar. Source: almost 2 years ago
  • Tracking of an exact point of an object
    If you have any control on the choice of the source/webcam, I'd recommend using a camera that can sense depth from the start (lidar cameras, like Intel RealSense if you are building something like a commercial robot; or a consumer device with lidar capabilities like iPad Pros since 2020, because they come with SDKs to do what you want from the start. E.g. https://developer.apple.com/augmented-reality/arkit/ or... Source: about 3 years ago
  • Is it possible to run an AR application on a raspberry pi 4 Model B
    You guys are right that Unity doesn't support building for arm64 Linux. It looks like the op could potentially install Android on the Raspberry Pi, which may allow them to run Android APKs built with Unity. However, AR Core is needed in order for Unity's AR functionality to work, and I suspect it would take additional work to get AR Core working on the Pi with an external camera and gyroscope. Source: over 3 years ago
  • Is Arcore required to build ar apps with unity?
    If the phone doesn't support ARCore, then you would have to implement all of the world / surface detection yourself inside your application code, which is very difficult problem to solve. Source: over 3 years ago
View more

Binary Search mentions (52)

  • 2023 internship grind summary (realistic)
    Leetcode: 53 easies, 15 mediums, 0 hards (to be fair I did a ton on binarysearch.com before that site closed down). Source: over 2 years ago
  • 800+ CodeSignal Score to LC Count Ratio
    846, 847, 848, 849 scores, LC 185/249/9. binarysearch.com is good for practicing speed. Source: over 2 years ago
  • LeetCode Student Offer ~~UPDATE~~
    Honestly https://binarysearch.com is better and free. Source: over 2 years ago
  • Got a six-Month Intern at Amazon. What to do now?
    I just practiced Dsa on Leetcode and binarysearch.com. Source: over 2 years ago
  • Which site is better for learning DS/A? Via reading.
    I like binarysearch.com more than LeetCode because it's 100% free to use and has company-specific questions. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Google ARCore and Binary Search, you can also consider the following products

Apple ARKit - A framework to create Augmented Reality experiences for iOS

LeetCode - Practice and level up your development skills and prepare for technical interviews.

Vuforia SDK - Vuforia is a vision-based augmented reality software platform.

Pramp for Product Managers - Practice product management mock interviews with other PMs

ARToolKit - The world's most widely used tracking library for augmented reality.

Codewars - Achieve code mastery through challenge.

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