Abstract: An apparatus which analyses a depth of a holographic image is provided. The apparatus includes an acquisition unit that acquires a hologram, a restoration unit that restores a three-dimensional holographic image by irradiating the hologram with a light source, an image sensing unit that senses a depth information image of the restored holographic image, and an analysis display unit that analyzes a depth quality of the holographic image, based on the sensed depth information image, and the image sensing unit uses a lensless type of photosensor.

Abstract: Disclosed is an apparatus of analyzing a depth of a holographic image according to the present disclosure, which includes an acquisition unit that acquires a hologram, a restoration unit that restores a three-dimensional holographic image by irradiating the hologram with a light source, an image sensing unit that senses a depth information image of the restored holographic image, and an analysis display unit that analyzes a depth quality of the holographic image, based on the sensed depth information image, and the image sensing unit uses a lensless type of photosensor.

Abstract: A holographic display apparatus includes a light source unit, a spatial light modulator, and a spatial light modulator control circuit for controlling the spatial light modulator, the spatial light modulator control circuit including a data driving circuit for providing a data voltage to a signal line, a demultiplexer circuit which includes a plurality of switching elements connected to the signal line and sequentially turned on, and transfers the data voltage to a transfer line through a turned-on switching element among the switching elements, and a first element connected between the transfer line and a data line, passing a current flowing from the transfer line to the data line, and blocking a current flowing from the data line to the transfer line.

Abstract: A system and method recognize a user-defined model object within an image. The system and method recognize the model object with occlusion when the model object to be found is only partially visible. The system and method also recognize the model object with clutter when there may be other objects in the image, even within the model object. The system and method also recognize the model object with non-linear illumination changes as well as global or local contrast reversals. The model object to be found may have been distorted, when compared to the user-defined model object, from geometric transformations of a certain class such as translations, rigid transformations by translation and rotation, arbitrary affine transformations, as well as similarity transformations by translation, rotation, and scaling.