A tidal wave of computer vision innovation is quickly having an impact on everyone's lives, but not everyone has the time to sit down and read through a bunch of news articles and learn what it means for them. In Computer Vision Decoded, we sit down with Jared Heinly, the Chief Scientist at EveryPoint, to discuss topics in today’s quickly evolving world of computer vision and decode what they mean for you. If you want to be sure you understand everything happening in the world of computer vision, don't miss an episode!
In this episode of Computer Vision Decoded, we bring to you a live recording of Jared Heinly presentation on the evolution of image based 3D reconstruction. This recording was from a Computer Vision Decoded meetup in Pittsburgh with a visual component. If you would like to tune in with the visuals, we recommend watching the episode on our YouTube channel: https://youtu.be/Gwib5IcTKHI
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This episode is brought to you by EveryPoint. Learn more about how EveryPoint is building an infinitely scalable data collection and processing platform for the next generation of spatial computing applications and services. Learn more at https://www.everypoint.io
17 Jun 2025
Understanding Gaussian Splatting w/ NVIDIA's Ruilong Li
NVIDIA researcher Ruilong Li elucidates 3D Gaussian Splatting for hosts Jonathan Stephens and Jared Heinly, detailing its optimization and photorealistic scene creation in this interview.
14 May 2025
Camera Types for 3D Reconstruction Explained
Hosts Jonathan Stephens and Jared Heinly examine diverse camera types utilized in computer vision and 3D reconstruction, highlighting the importance of camera specifications and metadata for effective image processing.
3 Apr 2025
Understanding 3D Reconstruction with COLMAP
Jonathan Stephens and Jared Heinly explore the COLMAP workflow for 3D reconstruction, covering feature extraction, geometric verification, and bundle adjustment in this interview.
4 Mar 2025
Tips and Tricks for 3D Reconstruction in Different Environments
Industry experts discuss practical tips and challenges in 3D reconstruction from images across diverse environments, focusing on optimizing 3D capture techniques for enhanced outcomes.
18 Feb 2025
Exploring Depth Maps in Computer Vision
Jonathan Stephens and Jared Heinly examine depth maps in computer vision, covering their use in smartphones, photogrammetry, and 3D reconstruction, revealing their importance in photography, gaming, and autonomous systems.
11 Feb 2025
What's New in 2025 for Computer Vision?
Hosts Jonathan Stephens and Jared Heinly examine the newest computer vision technology of 2025, including real-time 3D reconstruction, SLAM, event cameras, and generative AI, emphasizing the fusion of traditional methods with modern machine learning.
18 Sept 2023
A Computer Vision Scientist Reacts to the iPhone 15 Announcement
A computer vision scientist analyzes the iPhone 15 announcement, focusing on camera upgrades, quad sensors, and depth maps to understand their impact on spatial computing.
5 May 2023
OpenMVG Decoded: Pierre Moulon's 10 Year Journey Building Open-Source Software
Computer vision research scientist Pierre Moulon discusses his decade-long journey creating OpenMVG and highlights the importance of open-source software within the computer vision community in this interview.
21 Apr 2023
Understanding Implicit Neural Representations with Itzik Ben-Shabat
Itzik Ben-Shabat, Visiting Research Fellow, explores implicit neural representations, discussing key concepts, applications, and his research on improving output with limited input data in this interview.
16 Mar 2023
From 2D to 3D: 4 Ways to Make a 3D Reconstruction from Imagery
Computer scientist Jared Heinly, interviewed by Jonathan Stephens, explores four distinct strategies for 3D reconstruction from images, weighing the pros and cons of each approach.
24 Jan 2023
From Concept to Reality: The Journey of Building Scaniverse
Keith Ito, founder of Scaniverse, explores the complexities of developing a 3D capture application for iPhones, focusing on user experience and balancing speed with quality in this interview.
11 Nov 2022
Will NeRFs Replace Photogrammetry?
Matt Tancik, computer science PhD student, discusses Neural Radiance Fields, their capabilities, and the challenges of large-scale creation, in this interview episode.
24 Sept 2022
How to Capture Images for 3D Reconstruction
This episode explores image capture best practices for 3D reconstruction, offering insights into optimizing data collection for computer vision applications.
8 Sept 2022
Is The iPhone 14 Camera Any Good?
The hosts react to the iPhone 14 announcement, explaining camera specifications and computational photography, revealing how Apple achieves high-quality photos with small sensors.
9 Aug 2022
3D Reconstruction in the Wild
Jared Heinly, Chief Scientist at EveryPoint, explores the challenges of 3D reconstruction in uncontrolled environments with limitations like lighting and reflective surfaces in this interview.
1 Jul 2022
What is the CVPR Conference?
Jared Heinly discusses the Computer Vision Pattern Recognition Conference, including who should attend and emerging trends like machine learning in 3D reconstruction and NeRFs, offering insights for non-scientists.
21 Jun 2022
What Do the WWDC Announcements Mean for Computer Vision?
Jared Heinly, Chief Scientist at EveryPoint, analyzes Apple's WWDC announcements and their implications for the computer vision community in an interview.
Who has been a guest on Computer Vision Decoded
Names identified in recent episode analyses. Showing up to five guests.
Ruilong Li
Pierre Moulon
Itzik Ben-Shabat
Keith Ito
Matt Tancik
Reach and audience
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YouTube views
756,471
Score snapshot 15 Sept 2025
Apple Podcasts (US)
5.0 / 5
5 ratings
Spotify
4.9 / 5
14 ratings
Podcast Authority Score: 66 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
76
Social presence
0
YouTube
86
Engagement
51
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