An Evaluation Of 3-D Scene Exploration Using A Multiperspective Image Framework

Multiperspective images (MPIs) show more than what is visible from a single viewpoint and are a promising approach for alleviating the problem of occlusions. We present a comprehensive user study that investigates the effectiveness of MPIs for 3-D scene exploration. A total of 47 subjects performed searching, counting, and spatial orientation tasks using both conventional and multiperspective images. We use a flexible MPI framework that allows trading off disocclusion power for image simplicity. The framework also allows rendering MPI images at interactive rates, which enables investigating interactive navigation and dynamic 3-D scenes. The results of our experiments show that MPIs can greatly outperform conventional images. For searching, subjects performed on average 28% faster using an MPI. For counting, accuracy was on average 91% using MPIs as compared to 42% for conventional images.

Paul Rosen, and Voicu Popescu. An Evaluation Of 3-D Scene Exploration Using A Multiperspective Image Framework. The Visual Computer, 2011.

@article{rosen2011evaluation,
  title = {An Evaluation of 3-D Scene Exploration Using a Multiperspective Image
    Framework},
  author = {Rosen, Paul and Popescu, Voicu},
  journal = {The Visual Computer},
  volume = {27},
  pages = {623--632},
  year = {2011},
  note = {textit{Presented at Computer Graphics International 2011.}},
  abstract = {Multiperspective images (MPIs) show more than what is visible from a single
    viewpoint and are a promising approach for alleviating the problem of occlusions. We
    present a comprehensive user study that investigates the effectiveness of MPIs for 3-D
    scene exploration. A total of 47 subjects performed searching, counting, and spatial
    orientation tasks using both conventional and multiperspective images. We use a flexible
    MPI framework that allows trading off disocclusion power for image simplicity. The
    framework also allows rendering MPI images at interactive rates, which enables
    investigating interactive navigation and dynamic 3-D scenes. The results of our
    experiments show that MPIs can greatly outperform conventional images. For searching,
    subjects performed on average 28% faster using an MPI. For counting, accuracy was on
    average 91% using MPIs as compared to 42% for conventional images.}
}