Rotation Invariant Matching of Partial ShoeprintsIJERA Editor
In this paper, we propose a solution for the problem of rotated partial shoeprints retrieval based on the combined use of local points of interest and SIFT descriptor. Once the generated features are encoded using SIFT descriptor, matching is carried out using RANSAC to estimate a transformation model and establish the number of its inliers which is then multiplied by the sum of point-to-point Euclidean distances below a hard threshold. We demonstrate that such combination can overcome the issue of retrieval of partial prints in the presence of rotation and noise distortions. Conducted experiments have shown that the proposed solution achieves very good matching results and outperforms similar work in the literature both in terms of performances and complexity.
Player Engagement and In-Game AdvertisingTyler Pace
In this paper, we present an analysis of physiological engagement with advertising-rich video games. Physiological engagement was measured with OTOinsight’s Quantemo™ neuromarketing measurement platform. Analyzing the results from three separate physical traces in combination with eye tracking and interview data, we present a series of five insights for the design and dissemination of future in-game advertising.
Rotation Invariant Matching of Partial ShoeprintsIJERA Editor
In this paper, we propose a solution for the problem of rotated partial shoeprints retrieval based on the combined use of local points of interest and SIFT descriptor. Once the generated features are encoded using SIFT descriptor, matching is carried out using RANSAC to estimate a transformation model and establish the number of its inliers which is then multiplied by the sum of point-to-point Euclidean distances below a hard threshold. We demonstrate that such combination can overcome the issue of retrieval of partial prints in the presence of rotation and noise distortions. Conducted experiments have shown that the proposed solution achieves very good matching results and outperforms similar work in the literature both in terms of performances and complexity.
Player Engagement and In-Game AdvertisingTyler Pace
In this paper, we present an analysis of physiological engagement with advertising-rich video games. Physiological engagement was measured with OTOinsight’s Quantemo™ neuromarketing measurement platform. Analyzing the results from three separate physical traces in combination with eye tracking and interview data, we present a series of five insights for the design and dissemination of future in-game advertising.