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Jonathan Stephens에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jonathan Stephens 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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3D Reconstruction in the Wild

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Manage episode 337314056 series 3364101
Jonathan Stephens에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jonathan Stephens 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode of Computer Vision Decoded, we sit down with Jared Heinly, Chief Scientist at EveryPoint, to discuss 3D reconstruction in the wild. What does “in the wild” mean? This means 3D reconstructing objects and scenes in non-controlled environments where you may have limitations with lighting, access, reflective surfaces, etc.

00:00 Intro
01:30: What are Duplicate Scene Structures and How to Avoid Them
14:30: How Jared used 100 million crowdsourced photos to 3d reconstruct 12,903 landmarks
27:10: The benefits of capturing video for 3D reconstruction
31:30: The benefits of using a drone to capture stills for 3D reconstruction
34:20: Considerations for using installed cameras for 3d reconstruction
38:30: How to work with sun issues
44:25: Determining how far from the object you should be when capturing images
50:35: How to capture objects with reflective surfaces
53:40: How work around scene obstructions
57:20: What cameras you should use

Jared Heinly’s Academic Papers and Projects

Paper: Correcting the Duplicate Scene Structure In Sparse 3D Reconstruction
Project: Reconstructing the World in Six Days
Video: Reconstructing the world in Six Days

Follow Jared Heinly on Twitter
Follow Jonathan Stephens on Twitter

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: https://www.everypoint.io

  continue reading

11 에피소드

Artwork
icon공유
 
Manage episode 337314056 series 3364101
Jonathan Stephens에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Jonathan Stephens 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

In this episode of Computer Vision Decoded, we sit down with Jared Heinly, Chief Scientist at EveryPoint, to discuss 3D reconstruction in the wild. What does “in the wild” mean? This means 3D reconstructing objects and scenes in non-controlled environments where you may have limitations with lighting, access, reflective surfaces, etc.

00:00 Intro
01:30: What are Duplicate Scene Structures and How to Avoid Them
14:30: How Jared used 100 million crowdsourced photos to 3d reconstruct 12,903 landmarks
27:10: The benefits of capturing video for 3D reconstruction
31:30: The benefits of using a drone to capture stills for 3D reconstruction
34:20: Considerations for using installed cameras for 3d reconstruction
38:30: How to work with sun issues
44:25: Determining how far from the object you should be when capturing images
50:35: How to capture objects with reflective surfaces
53:40: How work around scene obstructions
57:20: What cameras you should use

Jared Heinly’s Academic Papers and Projects

Paper: Correcting the Duplicate Scene Structure In Sparse 3D Reconstruction
Project: Reconstructing the World in Six Days
Video: Reconstructing the world in Six Days

Follow Jared Heinly on Twitter
Follow Jonathan Stephens on Twitter

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: https://www.everypoint.io

  continue reading

11 에피소드

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