How to create DEPTH MAPS using AI AutoDepth plugin and/or NEURAL FILTERS

In summary, image depth maps provide valuable depth information about a scene, enabling a wide range of applications across computer vision, robotics, AR/VR, photography, rendering, gaming, and medical imaging.

An image depth map is a representation of the distances from a camera to various points in a scene, providing a measure of the scene's depth information. It assigns depth values to each pixel in an image, indicating the perceived distance from the camera.

The depth map is typically represented as a grayscale image or a 2D array of depth values. In this map, closer objects are represented by lighter shades, while farther objects appear darker. This depth information can be derived using various techniques, including stereo vision, structured light, timeofflight sensors, or depth estimation algorithms.

The uses of image depth maps are diverse and span across several domains:

Computer Vision and Robotics: Depth maps are crucial for tasks like 3D reconstruction, object detection, tracking, and scene understanding. By combining depth information with color images, robots and autonomous systems can navigate environments, avoid obstacles, and interact with objects more accurately.

Augmented Reality (AR) and Virtual Reality (VR): Depth maps help create realistic AR and VR experiences by providing depth cues, enabling the placement of virtual objects in realworld scenes with proper spatial alignment. This enhances the immersion and interaction within virtual environments.

Photography and Cinematography: Depth maps find applications in postprocessing techniques, such as depthoffield simulation and background blur effects. By accurately estimating the depth of objects, photographers and cinematographers can achieve artistic effects, emphasizing the subject and creating a sense of depth in images and videos.

3D Rendering and Gaming: Depth maps are utilized in 3D rendering pipelines to generate realistic images or scenes. They assist in the implementation of techniques like occlusion culling, shadow mapping, and depthbased effects, enhancing the visual quality and realism of rendered graphics.

Medical Imaging: Depth maps play a role in medical imaging applications, such as computerassisted surgery, 3D medical visualization, and diagnostic analysis. By extracting depth information from medical scans or stereo camera setups, clinicians can better understand anatomical structures and aid in surgical planning.

Chapters:
0:00 What is a depth map?
0:26 Online Apps to create a depth map
0:39 2 Methods I use to generate depth map in Photoshop
1:03 How to use AI AutoDepth by Volumax 7
1:38 How to use Depth blur in Photoshop Neural Filters to create a depth map
2:21 Outro

Link to Apps:
Depth Scanner Plugin
imageamigo.com/photodepth
huggingface/zoedepth
Photoshop

Link to tutorial:
How to Leverage Multimedia to Animate AI Images | AI Image Animation Tutorial:    • MIDJOURNEY AI IMAGE TO 3D | How to 3D...  

Link to Volumax 7
Volumax: https://videohive.net/item/volumax3d...

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Credits:
Content and production by Eric Claridades
Additional editing and voice by Gina Cole
Original Music by Eric Claridades