摘要:
Embodiments of the invention relate to detecting the number, position, and orientation of objects when a plurality of recognition target objects are present in a search target image. Dictionary image data is provided, including a recognition target pattern, a plurality of feature points of the recognition target pattern, and an offset (Ox, Oy) from the coordinates at the center of the image to the coordinates of the feature point. The sizes (Rt) and directions (θt) of feature vectors for the coordinates (Tx, Ty) of a plurality of feature points in the target image are also provided. The coordinates (Fx, Fy) of a virtual center point in the target image is derived. Additional virtual center points within a radius of the coordinates (Fx, Fy) is counted. Presence of a recognition target object is recognized near the virtual center point coordinates of the search target image.
摘要:
Embodiments are provided to search for a dictionary image corresponding to a target image. The method includes detecting keypoints in a set of dictionary images. The set of dictionary images includes at least one dictionary image having a plurality of pixels. At least one random pair of pixels is selected among the detected keypoints of the dictionary image on the basis of candidate coordinates for pixels distributed around the detected keypoints of the dictionary image. A feature vector of each keypoint of the dictionary image is calculated, including calculating a difference in brightness between the selected pairs of pixels of the dictionary image. The calculated difference in brightness is an element of the feature vector. Keypoints of a target image are detected.
摘要:
Embodiments of the invention relate to detecting the number, position, and orientation of objects when a plurality of recognition target objects are present in a search target image. Dictionary image data is provided, including a recognition target pattern, a plurality of feature points of the recognition target pattern, and an offset (Ox, Oy) from the coordinates at the center of the image to the coordinates of the feature point. The sizes (Rt) and directions (θt) of feature vectors for the coordinates (Tx, Ty) of a plurality of feature points in the target image are also provided. The coordinates (Fx, Fy) of a virtual center point in the target image is derived. Additional virtual center points within a radius of the coordinates (Fx, Fy) is counted. Presence of a recognition target object is recognized near the virtual center point coordinates of the search target image.
摘要:
Embodiments are provided to search for a dictionary image corresponding to a target image. The method includes detecting keypoints in a set of dictionary images. The set of dictionary images includes at least one dictionary image having a plurality of pixels. At least one random pair of pixels is selected among the detected keypoints of the dictionary image on the basis of candidate coordinates for pixels distributed around the detected keypoints of the dictionary image. A feature vector of each keypoint of the dictionary image is calculated, including calculating a difference in brightness between the selected pairs of pixels of the dictionary image. The calculated difference in brightness is an element of the feature vector. Keypoints of a target image are detected.
摘要:
Embodiments are provided to search for a dictionary image corresponding to a target image. The method includes detecting keypoints in a set of dictionary images. The set of dictionary images includes at least one dictionary image having a plurality of pixels. At least one random pair of pixels is selected among the detected keypoints of the dictionary image on the basis of candidate coordinates for pixels distributed around the detected keypoints of the dictionary image. A feature vector of each keypoint of the dictionary image is calculated, including calculating a difference in brightness between the selected pairs of pixels of the dictionary image. The calculated difference in brightness is an element of the feature vector. Keypoints of a target image are detected.
摘要:
Embodiments of the invention relate to detecting the number, position, and orientation of objects when a plurality of recognition target objects are present in a search target image. Dictionary image data is provided, including a recognition target pattern, a plurality of feature points of the recognition target pattern, and an offset (Ox, Oy) from the coordinates at the center of the image to the coordinates of the feature point. The sizes (Rt) and directions (θt) of feature vectors for the coordinates (Tx, Ty) of a plurality of feature points in the target image are also provided. The coordinates (Fx, Fy) of a virtual center point in the target image is derived. Additional virtual center points within a radius of the coordinates (Fx, Fy) is counted. Presence of a recognition target object is recognized near the virtual center point coordinates of the search target image.
摘要:
Embodiments are provided to search for a dictionary image corresponding to a target image. The method includes detecting keypoints in a set of dictionary images. The set of dictionary images includes at least one dictionary image having a plurality of pixels. At least one random pair of pixels is selected among the detected keypoints of the dictionary image on the basis of candidate coordinates for pixels distributed around the detected keypoints of the dictionary image. A feature vector of each keypoint of the dictionary image is calculated, including calculating a difference in brightness between the selected pairs of pixels of the dictionary image. The calculated difference in brightness is an element of the feature vector. Keypoints of a target image are detected.
摘要:
Embodiments of the invention relate to detecting the number, position, and orientation of objects when a plurality of recognition target objects are present in a search target image. Dictionary image data is provided, including a recognition target pattern, a plurality of feature points of the recognition target pattern, and an offset (Ox, Oy) from the coordinates at the center of the image to the coordinates of the feature point. The sizes (Rt) and directions (θt) of feature vectors for the coordinates (Tx, Ty) of a plurality of feature points in the target image are also provided. The coordinates (Fx, Fy) of a virtual center point in the target image is derived. Additional virtual center points within a radius of the coordinates (Fx, Fy) is counted. Presence of a recognition target object is recognized near the virtual center point coordinates of the search target image.