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Affective Pathfinding in Video Games
(Wydawnictwo Politechniki Łódzkiej, 2018) Daszuta, Marcin; Wróbel, Filip; Rynkiewicz, Filip; Szajerman, Dominik; Napieralski, Piotr
To allow player submerge in created environment of a video game, agents called Non-Player Characters (NPCs) should act believably. One of the most vital aspect, in case of NPCs is pathfinding. There are a few methods that allow change path finding algorithms to become more human-like. Yet, those are not considering many vital aspects of human decisions regarding path choosing. The main purpose of this paper is to present known approaches and show example of a new approach that wider considers psychological aspects of decision making in case of choosing a path.
Prediction of Natural Image Saliency for Synthetic Images
(Wydawnictwo Politechniki Łódzkiej, 2021) Rudak, Ewa; Rynkiewicz, Filip; Daszuta, Marcin; Sturgulewski, Łukasz; Lazarek, Jagoda
Numerous saliency models are being developed with the use ofneural networks and are capable of combining various features and predicting the saliency values with great results. In fact, it might be difficult to replace the possibilities of artificial intelligence applied to algorithms responsible for predicting saliency. However, the low-level features are still important and should not be removed completely from new saliency models. This work shows that carefully chosen and integrated features, including a deep learning based one, can be used for saliency prediction. The integration is obtained by using Multiple Kernel Learning. This solution is quite effective, as compared to a few other models tested on the same dataset.
Pupil Detection Methods for Eye Tracking
(Wydawnictwo Politechniki Łódzkiej, 2018) Rynkiewicz, Filip; Daszuta, Marcin; Napieralski, Piotr
The theory that pupillary changes can reﬂect human psychophysical character was conﬁrmed in several conducted studies. Authors of those studies have used devices called eye trackers in order to measure pupillary changes, blinking rate, eye movement patterns or even a gaze position. The main goal of those apparatuses is to locate the pupil on a given image using implemented pupil detection algorithms. In this paper the main focus will be set on several states of art pupil detection methods. All represent different approaches to performing the same tasks in diﬃcult situations for ex.: low/high condition, low image resolutions or low contrast.