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<liclass="toctree-l3"><aclass="reference internal"href="#what-are-camera-lens-models">What Are Camera Lens Models?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="#when-are-manual-selections-appropriate">When are manual selections appropriate?</a></li>
<liclass="toctree-l3"><aclass="reference internal"href="#why-would-one-use-a-particular-camera-lens-model">Why would one use a particular Camera Lens Model?</a></li>
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<spanid="id1"></span><h1>camera-lens<aclass="headerlink"href="#camera-lens"title="Enlazar permanentemente con este título">¶</a></h1>
<p><strong>Options:</strong><em>auto | perspective | brown | fisheye | spherical</em></p>
<p>Set a camera projection type. Manually setting a value can help improve geometric undistortion. By default the application tries to determine a lens type from the images metadata. . Default: <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code></p>
<divclass="line"><codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> : Automatic selection of best camera projection model.</div>
<h2>What Are Camera Lens Models?<aclass="headerlink"href="#what-are-camera-lens-models"title="Enlazar permanentemente con este título">¶</a></h2>
<p>Camera Lens Models are projection/distortion models that OpenSFM uses to correct for the optics of the camera platforms that record our images. These corrections are essential for proper camera/scene modeling, and therefore, proper reconstruction of the data.</p>
<h2>When are manual selections appropriate?<aclass="headerlink"href="#when-are-manual-selections-appropriate"title="Enlazar permanentemente con este título">¶</a></h2>
<p>Manually choosing a Camera Lens Model is currently only recommended in the case of Spherical Cameras (GoPro Fusion, GoPro Max, Insta360, Kodak PixPro, etc.) as these are currently not detected automatically by OpenSFM.</p>
<h2>Why would one use a particular Camera Lens Model?<aclass="headerlink"href="#why-would-one-use-a-particular-camera-lens-model"title="Enlazar permanentemente con este título">¶</a></h2>
<p>In rare cases, OpenSFM may not be able to detect (or retrieve from its Camera database) the correct Camera Lens Model for your particular sensor, in which case you should select the closest appropriate model. When in doubt, try specifying <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> first.</p>
</div>
<divclass="section"id="example-images">
<h2>Example Images<aclass="headerlink"href="#example-images"title="Enlazar permanentemente con este título">¶</a></h2>
<p>The following examples are all data taken with a standard Rectilinear Lens. Manual selection of the various Camera Lens Models is demonstrated to show some differences in how this will affect reconstruction.</p>
<divclass="section"id="auto-rectilinear-data">
<h3><codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> : Rectilinear Data<aclass="headerlink"href="#auto-rectilinear-data"title="Enlazar permanentemente con este título">¶</a></h3>
<divclass="figure align-default"id="id2">
<imgalt="Rectilinear data rendered by ``auto`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077336-ae79a958-a953-4376-86fd-430d0e5457f2.png"/>
<pclass="caption"><spanclass="caption-text">This Point Cloud shows a proper reconstruction via the <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> (<codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code>) Camera Lens Model, which is appropriate for this sensor.</span><aclass="headerlink"href="#id2"title="Enlace permanente a esta imagen">¶</a></p>
</div>
</div>
<divclass="section"id="brown-rectilinear-data">
<h3><codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> : Rectilinear Data<aclass="headerlink"href="#brown-rectilinear-data"title="Enlazar permanentemente con este título">¶</a></h3>
<divclass="figure align-default"id="id3">
<imgalt="Rectilinear data rendered by ``brown`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077753-580a174e-7572-4315-8801-224ce097d9fc.png"/>
<pclass="caption"><spanclass="caption-text">As in the prior example, this Point Cloud is reconstructed via the <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> Camera Lens Model.</span><aclass="headerlink"href="#id3"title="Enlace permanente a esta imagen">¶</a></p>
</div>
</div>
<divclass="section"id="fisheye-rectilinear-data">
<h3><codeclass="docutils literal notranslate"><spanclass="pre">fisheye</span></code> : Rectilinear Data<aclass="headerlink"href="#fisheye-rectilinear-data"title="Enlazar permanentemente con este título">¶</a></h3>
<divclass="figure align-default"id="id4">
<imgalt="Rectilinear data rendered by ``fisheye`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077826-53d459fe-5e4e-4b10-8e70-fbddf775c4f7.png"/>
<pclass="caption"><spanclass="caption-text">In this Point Cloud reconstruction, severe bowling and other artifacts have been introduced via the use of the wrong Camera Lens Model.</span><aclass="headerlink"href="#id4"title="Enlace permanente a esta imagen">¶</a></p>
<h3><codeclass="docutils literal notranslate"><spanclass="pre">perspective</span></code> : Rectilinear Data<aclass="headerlink"href="#perspective-rectilinear-data"title="Enlazar permanentemente con este título">¶</a></h3>
<divclass="figure align-default"id="id5">
<imgalt="Rectilinear data rendered by ``perspective`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127077485-699f9e61-72a6-45f2-990f-f5748b6ee99f.png"/>
<pclass="caption"><spanclass="caption-text">This Point Cloud rendered well, very similar to the <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> and <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> examples. One may see artifacts in the <codeclass="docutils literal notranslate"><spanclass="pre">perspective</span></code> Camera Lens Model in very large collections, or over very flat/homogenus terrain (agricultural fields). In such cases, forcing <codeclass="docutils literal notranslate"><spanclass="pre">brown</span></code> may help.</span><aclass="headerlink"href="#id5"title="Enlace permanente a esta imagen">¶</a></p>
<h3><codeclass="docutils literal notranslate"><spanclass="pre">spherical</span></code> : Rectilinear Data<aclass="headerlink"href="#spherical-rectilinear-data"title="Enlazar permanentemente con este título">¶</a></h3>
<divclass="figure align-default"id="id6">
<imgalt="Rectilinear data rendered by ``spherical`` Camera Lens Model"src="https://user-images.githubusercontent.com/19295950/127078960-27e35cbb-a378-4d0d-92e2-42dbfd1edd7c.png"/>
<pclass="caption"><spanclass="caption-text">This Point Cloud failed to reconstruct properly due to the manual selection of the <codeclass="docutils literal notranslate"><spanclass="pre">fisheye</span></code> Camera Lens Model. Similar failures to reconstruct can often indicate the wrong manual selection, or in edge cases, wrong <codeclass="docutils literal notranslate"><spanclass="pre">auto</span></code> selection of the Camera Lens Model, and you are advised to try another Model that is more appropriate.</span><aclass="headerlink"href="#id6"title="Enlace permanente a esta imagen">¶</a></p>
<p><aclass="reference external"href="https://github.com/opendronemap/docs#how-to-make-your-first-contribution">Learn to edit</a> and help improve <aclass="reference external"href="https://github.com/OpenDroneMap/docs/blob/publish/source/arguments_edit/camera-lens.rst">this page</a>!</p>
