Abstract: The invention provides a dynamically assigning a parking lot method. First, one or a plurality of parking lots located in a set distance is selected according to a destination provided by the car. Next, a time of parking space to be available is estimated according a real-time parking data and a historical parking data of the one or the plurality of parking lots. Then, a waiting time is estimated according the time of parking space to be available and a car number in a line information of the one or the plurality of parking lots. A driving time of the car to the one or the plurality of parking lots according to a position of the car is estimated. Finally, a total waiting time is estimated according the driving time and the waiting time of the one or the plurality of parking lots.

Abstract: A travel plan apparatus, method, and a storage media are provided. The travel plan method includes: providing tourist attractions, travel days and travel configurations; determining at least one candidate hotel according to hotel configuration of the travel configurations; determining groups according to at least one candidate hotel and the travel days; distributing each one of the tourist attractions to a corresponsive group of the groups by using a relation-clustering method; when a quantity of first groups including at least one tourist attraction of the groups is larger than a quantity of the travel days, distributing tourist attractions of a second group including the tourist attractions with the shortest traveling time to other groups of the first groups by using the relation-clustering method.

Abstract: An image warping method and a computer program product thereof are provided. The image warping method comprises the following steps: defining a plurality of original feature points of an original image, wherein the original image corresponds to an original view angle; calculating a plurality of original pixel coordinates of the original feature points in the original image; defining a plurality of new feature points of the original image, wherein the new feature points respectively correspond to the original feature points; calculating a plurality of new pixel coordinates of the new feature points projected onto the original image; and approaching each of the original pixel coordinates of the original feature points to each of the new pixel coordinates of the corresponding new feature points in the original image so that the original image is warped into a new image, wherein the new image corresponds to a new view angle.