IEEE 2015 MATLAB BEYOND PERSPECTIVE DUAL PHOTOGRAPHY.pptx - PowerPoint PPT Presentation

1 / 8
About This Presentation
Title:

IEEE 2015 MATLAB BEYOND PERSPECTIVE DUAL PHOTOGRAPHY.pptx

Description:

PG Embedded Systems www.pgembeddedsystems.com #197 B, Surandai Road Pavoorchatram,Tenkasi Tirunelveli Tamil Nadu India 627 808 Tel:04633-251200 Mob:+91-98658-62045 General Information and Enquiries: g12ganesh@gmail.com – PowerPoint PPT presentation

Number of Views:3
Slides: 9
Provided by: pgembedded
Category:
Tags:

less

Transcript and Presenter's Notes

Title: IEEE 2015 MATLAB BEYOND PERSPECTIVE DUAL PHOTOGRAPHY.pptx


1
BEYOND PERSPECTIVE DUAL PHOTOGRAPHYWITH
ILLUMINATION MASKS
2
ABSTRACT
  • Scene appearance from the point of view of a
    light source is called a reciprocal or dual view.
    Since there exists a large diversity in
    illumination, these virtual views may be non
    perspective and multi view point in nature. In
    this paper, we demonstrate the use of occluding
    masks to recover these dual views, which we term
    shadow cameras. We first show how to render a
    single reciprocal scene view by swapping the
    camera and light source positions. We then extend
    this technique for multiple views by both
    building a virtual shadow camera array and by
    exploiting area sources.

3
  • We also capture non perspective views such as
    orthographic, cross-slit and a push broom
    variant, while introducing novel applications
    such as converting between camera projections and
    removing refractive and catadioptric distortions.
    Finally, since a shadow camera is artificial, we
    can manipulate any of its intrinsic parameters,
    such as camera skew, to create perspective
    distortions. We demonstrate a variety of indoor
    and outdoor results and show a rendering
    application for capturing the light-field of a
    light-source.

4
EXISTING SYSTEM
  • Illumination masking follows a less is more
    trend where coded camera apertures capture
    additional light-field information. Shadows can
    be used for spatio-temporal correspondences
    across cameras.
  • 1) Light-Field Rendering and Mosaicing
    Light-field rendering obtains new views by
    interpolating between densely sampled images,
    with applications. A related work has used
    ambient shadows to obtain hidden images from
    real-world scenes, although these are of lower
    resolution since they utilize fewer photographs
    than the technique in this paper.

5
  • 2) Shadow-Based Approaches Linear masks have
    been previously Used for scene point
    triangulation, while shadow gram methods
    reconstruct intricate objects and multi-flash
    approaches obtain occluding edges.
  • 3) Dual Views from Programmable Light Sources
    Dual photography exploits Helmholtz reciprocity
    between every projector-camera pixel pair to
    render the scene from the projectors
    point-of-view. Since the full light transport is
    measured, any scene relighting technique can be
    applied. In contrast, our method only obtains a
    dual view of the scene.

6
PROPOSED SYSTEM
  • In this paper we demonstrated a reciprocal
    approach by creating novel views from the
    relative motion between nonprogrammable sources
    and occluding masks. These views can be created
    for scenes with complex reflectance, without
    reconstruction and with no light-source
    assumptions. Our method involves smooth motion
    between a light-source and an opaque line mask
    such as a thin wire. The mask shadow is easily
    detected as intensity minima at each pixel. A
    minima location, say at some time instance,
    defines a shadow hull determined by the mask
    location at that time instance.

7
  • For example, the shadow hull due to a thin wire
    mask is a shadow plane through the mask. Multiple
    minima detected at a scene point correspond to
    intersections of these shadow hulls. For example,
    minima created by two, different positions of the
    line mask define a line at the intersection of
    the two shadow planes. If the intersection of
    shadow hulls is a line (as in this case), then
    the line is a light-ray from the source to the
    scene point. Detecting two minima at each pixel
    uniquely identifies all incident rays and defines
    the image coordinates of a virtual, dual scene
    view. The input are images of a static scene
    taken either under smoothly moving illumination
    and fixed masks or smoothlymoving masks and fixed
    illumination. The end result is mask shadows that
    fall onto the scene and are detected as intensity
    minima. The output is a dual view of the scene.
    The geometry of this dual view depends on whether
    the light-source or the mask is static. If the
    light-source is static, then this dual view is
    the point-of-view of the light-source.

8
SOFTWARE REQUIREMENTS
  • Mat Lab R2015a
  • Image processing Toolbox 7.1
Write a Comment
User Comments (0)
About PowerShow.com