A method of 3D reconstruction of a scene, using: - At least two sensors (C1,C2) each including a series of elementary receivers arranged to observe the scene from separate respective solid angles and which are sensitive to a physical characteristic of a signal received by said receiver originating from the scene, the sensors being each adapted to generate a asynchronous stream of events (Ei) which are each indicative of a modification of the signal received by one of the elementary at a given time; - An 3D reconstruction algorithm including the steps of: • matching elementary receivers of each of the sensors using signals generated by the sensors, the matching consisting in associating events generated by receivers of each of the sensors and relative to an given element of the scene; • Find by triangulation a point of the scene corresponding to the element that has been seen by the two elementary receivers which have generated the two associated events, to include it in the 3D reconstruction of the scene; Characterized in that the matching step includes: - Effecting a preliminary selection of temporally close events by retaining, for a given source event generated by one of the sensors, one or several events generated by the other sensor that took place in given a time window (ΔT) around the source event; If the preliminary selection retains several events generated by the other sensor, filtering said events to only retain that event who corresponds at the source event by applying a sorting procedure. - At least two sensors (C1,C2) each including a series of elementary receivers arranged to observe the scene from separate respective solid angles and which are sensitive to a physical characteristic of a signal received by said receiver originating from the scene, the sensors being each adapted to generate a asynchronous stream of events (Ei) which are each indicative of a modification of the signal received by one of the elementary at a given time; - An 3D reconstruction algorithm including the steps of: • matching elementary receivers of each of the sensors using signals generated by the sensors, the matching consisting in associating events generated by receivers of each of the sensors and relative to an given element of the scene; • Find by triangulation a point of the scene corresponding to the element that has been seen by the two elementary receivers which have generated the two associated events, to include it in the 3D reconstruction of the scene; Characterized in that the matching step includes: - Effecting a preliminary selection of temporally close events by retaining, for a given source event generated by one of the sensors, one or several events generated by the other sensor that took place in given a time window (ΔT) around the source event; If the preliminary selection retains several events generated by the other sensor, filtering said events to only retain that event who corresponds at the source event by applying a sorting procedure. • matching elementary receivers of each of the sensors using signals generated by the sensors, the matching consisting in associating events generated by receivers of each of the sensors and relative to an given element of the scene; • Find by triangulation a point of the scene corresponding to the element that has been seen by the two elementary receivers which have generated the two associated events, to include it in the 3D reconstruction of the scene; - Effecting a preliminary selection of temporally close events by retaining, for a given source event generated by one of the sensors, one or several events generated by the other sensor that took place in given a time window (ΔT) around the source event;