Gravity Alignment for Single Panorama Depth Inference

  • Matheus A. Bergmann UFRGS
  • Paulo G. L. Pinto UFRGS
  • Thiago L. T. da Silveira UFRGS
  • Cláudio R. Jung UFRGS


Monocular depth inference methods based on 360° images allow 3D reconstruction of entire rooms with a single capture. However, most state-of-the-art approaches assume gravity-aligned images and are highly sensitive to camera rotations. Such limitations result in poor depth estimates, which may jeopardize further 3D-based applications. Here, we present a pipeline for spherical single-image depth inference supplied by a novel rotation correction module. We show that our gravity alignment module can improve existing single-image depth estimation methods, being also useful for aligning color and depth to the horizon, which is highly desirable in many applications.
Palavras-chave: Graphics, Three-dimensional displays, Image color analysis, Pipelines, Estimation, Cameras, Gravity
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BERGMANN, Matheus A.; PINTO, Paulo G. L.; SILVEIRA, Thiago L. T. da; JUNG, Cláudio R.. Gravity Alignment for Single Panorama Depth Inference. In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 34. , 2021, Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 .