How This Cool Photogrammetry Trick Changes 3D Scanning

00:11:02
https://www.youtube.com/watch?v=hO6qJxxEvP8

Résumé

TLDRIn this video, Adam Savage explores photogrammetry at Spectral Motion, where he learns about a modern scanning technique that captures high-definition 3D images. The process involves a specialized camera that records depth data and images simultaneously, allowing for detailed point cloud generation. The technology compensates for movement, including breathing, ensuring accuracy in the scans. Adam undergoes a scan, resulting in a 3D print that showcases intricate details of his face, demonstrating the effectiveness of this advanced scanning method. The video highlights the simplicity and efficiency of the process, as well as the impressive results achieved with a single camera setup.

A retenir

  • 📸 Photogrammetry uses photos to create 3D models.
  • 🔍 A specialized camera captures depth and images simultaneously.
  • ⚙️ The scanning process compensates for movement like breathing.
  • 🖼️ Up to a thousand photos can be taken in a single scan.
  • 🕒 Processing a scan takes about an hour.
  • 🧑‍🎨 The 3D print captures intricate details of the face.
  • 💡 Hair is challenging to scan accurately.
  • 🛠️ This technology is used for prosthetics and costume design.
  • 🎥 Adam Savage undergoes a high-definition scan.
  • 🛍️ Merchandise includes unique demerit badges.

Chronologie

  • 00:00:00 - 00:05:00

    Adam Savage discusses photogrammetry with Dave Antelg at Spectral Motion, explaining how it integrates into their process. They describe the use of laser scanning and a modern camera system that captures high-resolution images at 30 frames per second, creating detailed point clouds. The technology allows for precise 3D modeling, capturing intricate details like skin texture and facial features, with minimal post-processing required.

  • 00:05:00 - 00:11:02

    After scanning Adam, they discuss the impressive fidelity of the point cloud data, which compensates for breathing movements using AI technology. Adam is shown a 3D print of his scan, highlighting the detailed texture and recognizable features. They reflect on the effectiveness of using a single camera for capturing high-quality scans, which is particularly useful for creating prosthetics and life casts, showcasing the advancements in scanning technology.

Carte mentale

Vidéo Q&R

  • What is photogrammetry?

    Photogrammetry is a technique that uses photographs to gather depth data and create 3D models.

  • How does the scanning process work?

    The scanning process involves a camera that captures 30 frames per second, creating a point cloud of data.

  • What technology is used for scanning?

    A specialized camera called the anchor camera is used, which captures high-resolution images and depth data.

  • How long does it take to process a scan?

    Processing a scan takes about an hour, including generating the point cloud and applying textures.

  • Can the technology compensate for movement?

    Yes, the technology can compensate for breathing and other movements during the scan.

  • What is the quality of the 3D print?

    The 3D print captures intricate details, including skin texture and facial features.

  • How many photos are taken during a scan?

    Up to a thousand photos can be taken, depending on the number of revolutions during the scan.

  • What is the purpose of this technology?

    This technology is used for creating physical models for prosthetics and other applications.

  • Is hair difficult to scan?

    Yes, hair is challenging to capture accurately in scans.

  • What kind of merchandise is available?

    There are various demerit badges available for sale.

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Sous-titres
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Défilement automatique:
  • 00:00:00
    Hey everybody, Adam Savage here. I'm at
  • 00:00:01
    Spectral Motion in LA with Dave Antelg
  • 00:00:04
    and we are going to talk
  • 00:00:05
    photoggramometry today. Absolutely.
  • 00:00:07
    Okay. So tell me how photoggramometry
  • 00:00:08
    works into spectral motions process.
  • 00:00:12
    Absolutely. So we were doing a a laser
  • 00:00:15
    light um scanning first. Um it's where
  • 00:00:18
    you use uh a device where it flashes you
  • 00:00:23
    with light and it's almost like a crappy
  • 00:00:26
    camera. So it's doing about 30 frames
  • 00:00:29
    per second and it's scanning you and
  • 00:00:32
    getting depth information from its
  • 00:00:34
    imagery. And so through that it creates
  • 00:00:37
    a point cloud and through that then we
  • 00:00:40
    can put flesh on it um and mesh it and
  • 00:00:44
    this is the way it currently works. Yes.
  • 00:00:46
    Okay. So I didn't I thought
  • 00:00:47
    photoggramometry was sort of assembling
  • 00:00:50
    a knowledge of depth data based on the
  • 00:00:53
    accretion of photos but you're
  • 00:00:55
    describing something slightly different
  • 00:00:56
    a little different and I believe you
  • 00:00:58
    were once scanned at a place with your
  • 00:01:01
    astronauts yes and in that it has 87
  • 00:01:05
    cameras about 100 and so my technique is
  • 00:01:09
    uh a little a little more modern because
  • 00:01:12
    technology has grown and with this
  • 00:01:15
    camera we can do burst shot and it will
  • 00:01:17
    track you as it's shooting. And so what
  • 00:01:20
    that means is this can shoot 30 frames
  • 00:01:22
    per second and it's saving the spatial
  • 00:01:25
    data. Exactly. Yes. And so what we do,
  • 00:01:28
    we have this camera right here. It's
  • 00:01:30
    called the anchor camera. And so this
  • 00:01:31
    stays as it is. And as you sit here, it
  • 00:01:34
    will record a perfect 360 of you steady.
  • 00:01:39
    As I do my wave pattern and collect data
  • 00:01:43
    from your top to your middle to your
  • 00:01:45
    bottom, we compile that up. So these two
  • 00:01:48
    cameras when you're doing that are clear
  • 00:01:49
    about where each of them is in XYZ space
  • 00:01:52
    and where they're pointed. Yes. Wow.
  • 00:01:54
    Yeah. No, it's very cool. And so you can
  • 00:01:57
    have up to depending on how many
  • 00:01:59
    revolutions you do, you could have up to
  • 00:02:01
    a thousand photos of data with your
  • 00:02:02
    face, the pores, the irises, the hair,
  • 00:02:04
    the everything. So you're able to get
  • 00:02:06
    incredibly fine point data. Yes. Yes.
  • 00:02:10
    The point cloud is is stunning. So um
  • 00:02:13
    can I was told that you might scan me? I
  • 00:02:15
    would love to. High definition. I can't
  • 00:02:18
    There's never too many scans of one's
  • 00:02:19
    own head. Absolutely. Please. We will
  • 00:02:21
    step into Oh, I love how simple this is.
  • 00:02:26
    It's very simple, you know. Absolutely
  • 00:02:28
    beautiful. So much less of a software
  • 00:02:31
    load. Exactly. On what you've gathered.
  • 00:02:33
    Exactly. And the post-processing is
  • 00:02:36
    almost nothing because we get such a
  • 00:02:37
    clear high definition. So, it's like
  • 00:02:38
    it's throwing out a lot of its data just
  • 00:02:41
    getting the data. Exactly. Oh, man. Does
  • 00:02:44
    it know that it's does it uh prioritize
  • 00:02:48
    based on the focal point? So it gets rid
  • 00:02:50
    of all this data. Absolutely. Yes. So my
  • 00:02:52
    focal point is um exactly from your nose
  • 00:02:55
    to your ear and it it just forgets about
  • 00:02:58
    everything in the back. Fascinating.
  • 00:03:00
    It's really cool. It's fun. It also is
  • 00:03:02
    that large format the sensor. It is
  • 00:03:04
    large format. You notice it's the Fuji
  • 00:03:06
    large camera. Yes. And that's why it
  • 00:03:09
    makes a great anchor camera because it
  • 00:03:11
    just takes the most clear photos of you
  • 00:03:13
    while I, you know, do my wave pattern
  • 00:03:16
    and get everything else. Gotcha. All
  • 00:03:17
    right. All right.
  • 00:03:19
    Boom. Ready?
  • 00:03:21
    In. So, you'll be nice zen mode. You can
  • 00:03:24
    do eyes closed or open, but I'm going to
  • 00:03:26
    do them open. Excellent. Okay, Adam. In
  • 00:03:29
    three, two, one.
  • 00:04:16
    And in
  • 00:04:17
    three,
  • 00:04:19
    two, one.
  • 00:04:22
    Beautiful. And cut. Wow. So, we blasted
  • 00:04:25
    you with about 500 plus photos. High
  • 00:04:28
    resolution. Amazing. 50 megapixel. Now,
  • 00:04:31
    I have a question. If you're gathering
  • 00:04:34
    uh point cloud data at that fidelity,
  • 00:04:36
    yes, then there's certainly going to be
  • 00:04:38
    artifacts from my breathing that have to
  • 00:04:40
    get averaged out. Am I right? You're
  • 00:04:43
    absolutely correct.
  • 00:04:45
    Fortunately, this program, a reality
  • 00:04:47
    capture, negates that movement. It
  • 00:04:50
    negates breathing and also this camera
  • 00:04:53
    compensates for breath. What? It's
  • 00:04:56
    insane. That's totally insane. How how
  • 00:05:00
    do you know roughly how it compensates
  • 00:05:01
    for breath? Yeah, it it it it has this
  • 00:05:04
    um AI within the camera itself. Wow. So,
  • 00:05:07
    this is the first generation with the
  • 00:05:09
    Sony that uses the AI and it actually
  • 00:05:13
    can compensate your breathing. Oh, so
  • 00:05:16
    it's seeing it's being able to pick up
  • 00:05:18
    that micro movement. Yes. In real time.
  • 00:05:21
    In real time. And change its Oh my god.
  • 00:05:24
    translated into our program. It averages
  • 00:05:26
    out, right? And it says, "Okay, well,
  • 00:05:28
    Adam is chess is expanding just a little
  • 00:05:31
    in about 30 photos. It's this way in
  • 00:05:34
    about 100 it averages out." And it's
  • 00:05:37
    Now, I know that a lot of times you're
  • 00:05:39
    making stuff You're making stuff to fit
  • 00:05:40
    on bodies. You're making hard objects to
  • 00:05:42
    fit on soft bodies. Absolutely. So, have
  • 00:05:44
    you come across any cases in which uh it
  • 00:05:47
    falls down a little bit like it does
  • 00:05:49
    it's not a perfect fit or you have
  • 00:05:51
    institutional knowledge of adjustment
  • 00:05:52
    that you need? I have institutional
  • 00:05:54
    knowledge of adjustments and also um
  • 00:05:56
    with our laser scanner we uh do scale.
  • 00:05:58
    So we'll the real process we'll uh have
  • 00:06:01
    you over to the the laser scanner just
  • 00:06:04
    quickly scan your ear because that's
  • 00:06:06
    really hard to pick up from a monitor.
  • 00:06:08
    Exactly. So we import the laser data
  • 00:06:11
    into our program perfectly match your
  • 00:06:13
    point cloud and you you become you can
  • 00:06:17
    print out a mask wear it done. Amazing.
  • 00:06:20
    Yes. Wow. Yeah. It's It's awesome. That
  • 00:06:23
    is so cool. Yeah. And uh we actually did
  • 00:06:26
    a a 3D print of Bill here and uh it
  • 00:06:30
    turned out absolutely fantastic.
  • 00:06:32
    Stunning. It works on Tuesdays, right?
  • 00:06:34
    Yeah. Talk to Photography Tuesdays.
  • 00:06:37
    Absolutely. Uh that's really How long
  • 00:06:39
    have you guys been using this
  • 00:06:41
    technology? Um so basically I come from
  • 00:06:43
    a long line of photoggramometry
  • 00:06:44
    companies. Okay. And I just I just
  • 00:06:47
    couldn't stand, you know, Mike was so
  • 00:06:49
    wonderful. He says, "You know, here's a
  • 00:06:51
    massive budget. We need a cage. We need
  • 00:06:53
    a hundred cameras." And I say, "Mike, I
  • 00:06:55
    don't think you do. You don't." And he
  • 00:06:58
    was so generous. He just let me do my
  • 00:07:01
    system. Amazing. And it just turned out
  • 00:07:03
    he's very happy. And so will you be. So,
  • 00:07:06
    how long is the process of processing
  • 00:07:08
    that scan? Absolutely. So, we'll take
  • 00:07:09
    our um data set and we'll put it into uh
  • 00:07:11
    the reality capture software. The point
  • 00:07:13
    cloud takes about 10 minutes to
  • 00:07:15
    generate. To put a highdefinition mesh
  • 00:07:18
    on you, about a half an hour. Okay.
  • 00:07:19
    Texture information about another 20
  • 00:07:22
    minutes. Oh my god. So it'll you'll bake
  • 00:07:24
    in about under an hour. And you guys can
  • 00:07:26
    send us that data. Absolutely. We'd be
  • 00:07:28
    happy to. We'll even 3D print you out.
  • 00:07:30
    Amazing. Thank you so much. Thank you so
  • 00:07:32
    much.
  • 00:07:34
    All right, Adam. So, we have your 3D
  • 00:07:37
    print of the scan that David and his
  • 00:07:40
    team down at Sexual Motion did of you. I
  • 00:07:43
    am super fascinated to see how this
  • 00:07:45
    looks. Right off the bat, there's so
  • 00:07:48
    much more
  • 00:07:49
    texture than I have seen in other scans.
  • 00:07:53
    It's like the topography of my skin and
  • 00:07:56
    my wrinkles is spectacular. It was
  • 00:07:58
    really funny to pull up the model cuz it
  • 00:08:00
    was a textured model, right? They sent
  • 00:08:02
    not only the geometry but also the
  • 00:08:05
    imagery of your skin. So, it's grabbing
  • 00:08:07
    both of those at the same time. It's
  • 00:08:08
    grabbing both of those. And you know, if
  • 00:08:10
    you remember when he was doing the
  • 00:08:11
    scanning, it was the single camera that
  • 00:08:14
    parabola motion. Yeah. Uh I was a little
  • 00:08:16
    skeptical, I have to admit, but it gets
  • 00:08:19
    it your face all the way there. Indeed.
  • 00:08:22
    No, the face is it's incredibly
  • 00:08:24
    recognizable. It's very there's a lot of
  • 00:08:26
    personality there. Um the hair falls
  • 00:08:28
    apart a little bit, but that's not the
  • 00:08:30
    core competency of this scanning
  • 00:08:31
    technology. Anyway, and we've seen
  • 00:08:33
    plenty of scans that people have done of
  • 00:08:35
    you and hair is a tough thing to scan.
  • 00:08:38
    It's tough thing to like our friends at
  • 00:08:39
    FBFX do that thing where they have a
  • 00:08:41
    very modeled way of executing hair,
  • 00:08:43
    right? You basically have to kind of
  • 00:08:44
    remodel it from scratch. I love seeing
  • 00:08:47
    this noisy hair, noisy digital, right?
  • 00:08:51
    Uh you can This is exactly how you
  • 00:08:52
    imagine like a point cloud look in a
  • 00:08:54
    computer. And I thought it was really
  • 00:08:56
    cool to see it realize. I totally do
  • 00:08:58
    too. And there's a way in which because
  • 00:09:00
    my hair hasn't been stylized, it feels
  • 00:09:03
    very much like you're looking at a clay
  • 00:09:05
    sculptor. Oh yes. Yes. Very much. Oh
  • 00:09:08
    yeah. And the way I'm looking at it from
  • 00:09:10
    different angles. Yeah. it. They did a
  • 00:09:13
    great job. They really did. Yeah. Um and
  • 00:09:15
    the whole thing is without a massive
  • 00:09:17
    array of cameras, a single camera. I
  • 00:09:20
    mean, we always the old axiom of having
  • 00:09:23
    more having more tools just reduces the
  • 00:09:25
    amount of time you need. But they're
  • 00:09:26
    adding time and technique with a very
  • 00:09:29
    modern, powerful single camera. And
  • 00:09:31
    that's a pretty cool result. That single
  • 00:09:33
    camera is amazing. And they're using
  • 00:09:35
    this to create physical bodies for
  • 00:09:37
    working on prosthetics. Right. Right.
  • 00:09:39
    So, it's a very different use case.
  • 00:09:40
    maybe building a whole costume off of
  • 00:09:42
    the thing. Absolutely. It's the modern
  • 00:09:43
    life cast. Yeah. Um I this we did this
  • 00:09:46
    before off camera, but like it's just
  • 00:09:50
    that's that's my body half scale. That's
  • 00:09:52
    my head half scale. They seem to work as
  • 00:09:54
    appalling as it is to see them like
  • 00:09:56
    that. Sorry everybody. We're going to
  • 00:09:58
    add this and the file to the collection
  • 00:10:02
    of Adam scans. Amazing. Uh that given
  • 00:10:05
    how simple that process was, I there's
  • 00:10:08
    so much amazing detail in this. I'm
  • 00:10:10
    really impressed with the technology.
  • 00:10:11
    Yeah, very cool. Thanks to the team at
  • 00:10:12
    Spectral Motion for having us, for
  • 00:10:14
    giving us this demo and for adding
  • 00:10:17
    another atom scan to our collection. So
  • 00:10:18
    much fun. Thanks, guys.
  • 00:10:22
    Thank you guys so much for watching that
  • 00:10:23
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  • 00:10:24
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Tags
  • photogrammetry
  • 3D scanning
  • Spectral Motion
  • Adam Savage
  • point cloud
  • high-definition
  • technology
  • 3D print
  • depth data
  • scanning process